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[FreeCourseSite.com] Udemy - Complete Data Science,Machine Learning,DL,NLP Bootcamp
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文件列表
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/011 Simple Linear Regression Practical.mp4
909.9 MB
46 - Dockers For Beginners/009 9-Dockers-Compose.mp4
828.8 MB
62 - Transformers/004 Self Attention Layer Working.mp4
774.0 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/001 End To End ML Project With Deployment-Github And Code Set Up.mp4
704.0 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/003 Discussing Project Problem Statement,EDA And Model Training.mp4
676.4 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/002 Implementing Project Structure, Logging And Exception Handling.mp4
659.4 MB
50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/001 Getting Started With MLOPS With MLFlow And Dagshub With Project.mp4
652.7 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/007 End To End ML Project Implementation.mp4
651.8 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/012 Multiple Linear regression.mp4
615.5 MB
62 - Transformers/012 Decoder Transformer- Masked Multi Head Attention Working.mp4
608.2 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/010 Implementing Data Ingestions Component.mp4
587.2 MB
38 - Xgboost Machine Learning Algorithms/001 Xgboost Classification Indepth Intuit.mp4
580.5 MB
13 - Data Analysis With Python/002 Pandas- DataFrame And Series.mp4
580.1 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/014 Data Transformation Implementation.mp4
557.1 MB
32 - Naive Bayes Theorem/001 Understanding Baye's Theorem.mp4
547.2 MB
13 - Data Analysis With Python/001 Numpy In Python.mp4
546.0 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/002 Multiple Linear Regression Projects With Assumptions.mp4
545.2 MB
25 - Exploratory Data Analysis and Feature Engineering/003 Data Cleaning With Google Playstore Dataset.mp4
513.5 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/012 Implementing Data Validation-Part 2.mp4
493.7 MB
23 - Inferential Statistics/015 Partioning Of Variance In Annova.mp4
491.8 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/005 EDA and Feature Engineering.mp4
474.4 MB
45 - Anomaly Detection Machine Learning Algorithms/001 Anomaly Detection USsing Isolation Forest Indepth Intuition.mp4
469.0 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/020 Model Training Pipeline Implementation.mp4
467.8 MB
25 - Exploratory Data Analysis and Feature Engineering/001 Red Wine Dataset EDA.mp4
465.1 MB
51 - NLP for Machine Learning/033 Part 1-Kindle Review Sentiment Analysis.mp4
464.2 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/011 Deployment Azure With Container And Images.mp4
462.8 MB
20 - Getting Started With Statistics/013 Correlation And Covariance.mp4
450.7 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/010 Deployment EC2 Instance With ECR.mp4
446.0 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/011 Implementing Data Validation-Part 1.mp4
432.4 MB
62 - Transformers/008 Layer Normalization.mp4
429.7 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/008 MSE, MAE, RMSE.mp4
429.7 MB
34 - Decision Tree Classifier And Regressor/007 Decision Tree Regression.mp4
428.6 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/001 Basic Simple Linear Regression Project.mp4
419.6 MB
60 - Encoder Decoder Sequence To Sequence Architecture/001 Indepth Intuition Of Encoder And Decoder-Sequence to Sequence Architecture.mp4
416.3 MB
23 - Inferential Statistics/003 Z Test- Hypothesis Testing.mp4
415.4 MB
52 - Deep Learning/005 ANN Intuition and Learning.mp4
405.4 MB
41 - K Means Clustering Unsupervised ML/004 K means Clustering Implementation.mp4
403.2 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/015 Model Trainer Implementation- Part 1.mp4
402.5 MB
18 - Getting Started With Flask Framework/005 Building Dynamic Url ,Variables Rule And Jinja 2 Template Engine.mp4
398.9 MB
55 - Simple RNN Indepth Intuition/003 Backward Propogation With Time In RNN Training.mp4
396.1 MB
22 - Probability Distribution Function For Data/001 The Relationship Between PDF,PMF And CDF.mp4
388.0 MB
52 - Deep Learning/006 Back Propogation and Weight Updation.mp4
384.7 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/004 Model Training With Cross Validation Using Lasso Regression.mp4
383.1 MB
53 - End to End Deep Learning Project Using ANN/003 Step By Step Training With ANN With Optimizer and Loss Functions.mp4
381.1 MB
61 - Attention Mechanism- Seq2Seq Networks/001 Attention Mechanism Indepth Architecture Explanation.mp4
374.4 MB
30 - Logistic Regression/002 Logistic Regression Indepth Math Intuition.mp4
373.7 MB
30 - Logistic Regression/003 Performance Metrics.mp4
372.4 MB
57 - LSTM And GRU RNN Indepth Intuition/008 GRU RNN Complete Indepth Intuition.mp4
370.0 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/016 Model Trainer And Evaluation With Hyperparameter Tuning.mp4
369.7 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/005 Data Transformation Using Pipelines Implementation.mp4
369.0 MB
62 - Transformers/007 Positional Encoding Indepth Intuition.mp4
368.4 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/025 Final Deployment To EC2 instance.mp4
365.2 MB
54 - NLP With Deep Learning/001 Introduction To NLP In Deep Learning.mp4
363.2 MB
55 - Simple RNN Indepth Intuition/004 Problems With RNN.mp4
350.7 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/022 Final Model And Artifacts Pusher To AWS S3 buckets.mp4
347.0 MB
47 - GIT For Beginners/003 Resolving Git Branch Merge Conflict.mp4
344.2 MB
51 - NLP for Machine Learning/007 Text Preprocessing Stopwords.mp4
343.6 MB
40 - PCA/005 Eigen Decomposition on Covariance Matrix.mp4
343.3 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/003 Basic Regression Project From Scratch-EDA And Feature Engineering.mp4
342.7 MB
38 - Xgboost Machine Learning Algorithms/002 Xgboost Regressor.mp4
340.0 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/007 ETL Pipeline Setup With Python.mp4
337.9 MB
52 - Deep Learning/008 Vanishing Gradient Problem and Sigmoid.mp4
330.3 MB
03 - Python Control Flow/001 Conditional Statements (if, elif, else).mp4
326.2 MB
34 - Decision Tree Classifier And Regressor/008 Decision Tree Implementation.mp4
326.0 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/010 Linear Regression with OLS.mp4
323.4 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/001 Ridge Regression.mp4
323.3 MB
03 - Python Control Flow/002 Loops In Python.mp4
321.2 MB
25 - Exploratory Data Analysis and Feature Engineering/002 EDA And Feature Engineering Flight Price Dataset.mp4
317.0 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/004 Cleaning the Dataset.mp4
311.6 MB
24 - Feature Engineering/001 Handling Missing Values.mp4
311.5 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/003 Cost Function.mp4
304.6 MB
26 - Introduction To Machine Learning/002 Types of ML Techniques.mp4
304.3 MB
50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/003 Building Data Science Projects With BentoML.mp4
304.0 MB
52 - Deep Learning/019 Loss Function Classification Problem.mp4
301.3 MB
42 - Hierarichal Clustering/001 Hierarichal Clustering.mp4
300.8 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/003 Types Of cross Validation.mp4
298.6 MB
51 - NLP for Machine Learning/015 BOW implementation using NLTK.mp4
295.2 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/024 Github Action-Docker Image Push to AWS ECR Repo Implementation.mp4
294.9 MB
13 - Data Analysis With Python/005 Data Visualization With Matplotlib.mp4
292.2 MB
51 - NLP for Machine Learning/031 Part 1-Text Classification With Word2vec And AvgWord2vec.mp4
291.6 MB
25 - Exploratory Data Analysis and Feature Engineering/004 Part 2- EDA Google Play Store Cleaned Dataset.mp4
291.5 MB
24 - Feature Engineering/003 Handling Imbalanced Dataset Using Smote.mp4
288.7 MB
22 - Probability Distribution Function For Data/003 Bernoulli Distribution.mp4
287.3 MB
40 - PCA/002 Feature Selection and Extraction.mp4
283.6 MB
51 - NLP for Machine Learning/022 Word2Vec Intuition.mp4
276.3 MB
46 - Dockers For Beginners/009 Docker Compose.mp4
275.9 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/004 Data Ingestion Implementation.mp4
268.1 MB
62 - Transformers/010 Complete Encoder transformer architecture.mp4
267.6 MB
31 - Support Vector Machines/007 Support Vector Classifiers.mp4
266.7 MB
50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/002 Data Versioning Control Implementation.mp4
265.8 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/003 Packaging the Project With Setup.py.mp4
264.6 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/008 Building Prediction Pipeline.mp4
264.3 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/007 Performance Metrics.mp4
262.9 MB
31 - Support Vector Machines/008 SVM Kernels implementation.mp4
262.3 MB
51 - NLP for Machine Learning/001 Roadmap to Learn NLP for Machine Learning.mp4
261.0 MB
30 - Logistic Regression/005 Logistic Regression Implementation.mp4
257.5 MB
26 - Introduction To Machine Learning/005 Instance based Vs Model based learning.mp4
256.9 MB
51 - NLP for Machine Learning/005 Text Preprocessing Stemming using NLTK.mp4
256.5 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/006 Model Trainer Implementation.mp4
251.5 MB
33 - K Nearest Neighbour ML Algorithm/001 KNN Classification And Regression Indepth Intuition.mp4
251.3 MB
51 - NLP for Machine Learning/004 Tokenisation Practicals.mp4
251.1 MB
22 - Probability Distribution Function For Data/007 Standard Normal Distribution And Z Score.mp4
247.9 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/013 Data Transformation Architecture.mp4
245.0 MB
33 - K Nearest Neighbour ML Algorithm/002 Optimization Of KNN- KDtree And Ball Tree Indepth Intuition.mp4
241.1 MB
52 - Deep Learning/018 Regression Cost Function.mp4
239.9 MB
51 - NLP for Machine Learning/032 Part 2- Text Classification With Word2vec And AvgWord2vec.mp4
238.6 MB
13 - Data Analysis With Python/003 Data Manipulation With Pandas And Numpy.mp4
237.7 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/004 Logging And Exception Handling Implementation.mp4
236.8 MB
18 - Getting Started With Flask Framework/006 Working With Rest API's And HTTP Verbs Put And Delete.mp4
236.0 MB
37 - Gradient Boosting/001 Gradient Boosting Regression.mp4
235.3 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/009 Implementing Data Ingestion Configuration.mp4
233.4 MB
59 - Bidirectional RNN Architecture And Indepth Intuition/001 Bidirectional RNN Architecture and Intuition.mp4
232.4 MB
47 - GIT For Beginners/002 Git Merge, Push, Checkout and Log with commands.mp4
224.9 MB
26 - Introduction To Machine Learning/003 Equation of Line, 3d, and Hyperplane.mp4
221.3 MB
53 - End to End Deep Learning Project Using ANN/002 Feature Transformation Using Sklearn With ANN.mp4
219.0 MB
04 - Inbuilt Data Structures In Python/007 Dictionaries In Python.mp4
216.7 MB
36 - Adaboost Machine Learning Algorithm/008 Adaboost Model Training.mp4
215.4 MB
24 - Feature Engineering/005 Data Encoding- Nominal Or OHE.mp4
213.4 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/014 Polynomial Regression Implementation.mp4
212.1 MB
55 - Simple RNN Indepth Intuition/001 Understanding RNN Architecture- RNN Vs ANN.mp4
210.0 MB
46 - Dockers For Beginners/002 Dockers and What is Containers.mp4
208.4 MB
31 - Support Vector Machines/009 Support Vector Regression Implementation.mp4
208.1 MB
04 - Inbuilt Data Structures In Python/001 List And List Comprehension In Python.mp4
207.7 MB
42 - Hierarichal Clustering/002 Agglomerative Clustering Implementation.mp4
207.5 MB
04 - Inbuilt Data Structures In Python/005 Sets In Python.mp4
207.2 MB
15 - Logging In Python/001 Logging Practical Implementation In Python.mp4
207.0 MB
62 - Transformers/003 Understanding the basic architecture of transformers.mp4
204.5 MB
51 - NLP for Machine Learning/008 Parts of Speech Tagging Using NLTK.mp4
203.7 MB
62 - Transformers/002 What And Why To Use Transformers.mp4
203.2 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/021 Batch Prediction Pipeline Implementation.mp4
201.3 MB
23 - Inferential Statistics/002 What is P value.mp4
200.8 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/004 Convergence Algorithm.mp4
199.6 MB
57 - LSTM And GRU RNN Indepth Intuition/001 Why LSTM RNN.mp4
199.5 MB
51 - NLP for Machine Learning/013 Bag of Words Intuition.mp4
199.3 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/008 Hyperparameter tuning.mp4
198.9 MB
05 - Functions In Python/002 More Coding Example With Functions.mp4
198.6 MB
55 - Simple RNN Indepth Intuition/002 Forward Propogation With Time In RNN Training.mp4
198.6 MB
52 - Deep Learning/010 Sigmoid Activation Function 2.0.mp4
196.2 MB
47 - GIT For Beginners/001 Introduction, Installation and Basic Commands.mp4
196.2 MB
46 - Dockers For Beginners/006 Docker Basic Commands.mp4
195.9 MB
51 - NLP for Machine Learning/024 SkipGram Indepth Intuition.mp4
194.1 MB
34 - Decision Tree Classifier And Regressor/010 Diabetes Prediction Using Decision Tree Regressor.mp4
193.2 MB
52 - Deep Learning/002 Why Deep Learning is getting Popular.mp4
192.1 MB
13 - Data Analysis With Python/006 Data Visualization With Seaborn.mp4
189.7 MB
52 - Deep Learning/003 3 - Perception Intuition.mp4
188.3 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/006 Setting Up MongoDb Atlas.mp4
187.7 MB
52 - Deep Learning/024 SGD With Momentum.mp4
187.5 MB
30 - Logistic Regression/010 Logistic Regression ROC.mp4
187.2 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/005 Convergence Algorithm Part02.mp4
184.8 MB
34 - Decision Tree Classifier And Regressor/003 Information Gain.mp4
184.8 MB
30 - Logistic Regression/009 Logistic Imbalanced Dataset.mp4
183.8 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/013 Polynomial Regression Intuition.mp4
182.0 MB
30 - Logistic Regression/006 Grid Search Hyper Parameter.mp4
180.9 MB
62 - Transformers/013 Encoder Decoder Multi Head Attention.mp4
180.3 MB
40 - PCA/004 PCA Maths Intuition 01.mp4
180.1 MB
12 - Advance Python/003 Function Copy,Cloures And Decorators.mp4
179.4 MB
57 - LSTM And GRU RNN Indepth Intuition/003 Forget Gate In LSTM RNN.mp4
179.3 MB
52 - Deep Learning/030 Dropout Layers.mp4
178.1 MB
57 - LSTM And GRU RNN Indepth Intuition/006 Training Process In LSTM RNN.mp4
177.2 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/002 Lasso & ElasticNet.mp4
176.9 MB
17 - Memory Management With Python/001 Memory Allocation And DeallocationGarbage collection and Best Practises.mp4
176.3 MB
51 - NLP for Machine Learning/012 Advantages and Disadvantages of OHE.mp4
176.2 MB
52 - Deep Learning/021 Gradient Descent Optimisers.mp4
174.6 MB
34 - Decision Tree Classifier And Regressor/002 Entropy and Gini Impurity.mp4
174.3 MB
02 - Python Programming Language/007 Operators In Python.mp4
173.8 MB
53 - End to End Deep Learning Project Using ANN/007 ANN Regresiion Practical Implementation.mp4
172.7 MB
22 - Probability Distribution Function For Data/009 Log Normal Distribution.mp4
172.4 MB
40 - PCA/003 PCA Geometric Intuition.mp4
172.3 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/009 ML Project Deployment Using AWS Beanstalk.mp4
171.5 MB
14 - Working With Sqlite3/002 Crud Operation With SQLite3 And Python.mp4
170.3 MB
35 - Random Forest Machine Learning/008 Feature Engineering.mp4
168.9 MB
52 - Deep Learning/007 Chain Rule of Derivatives.mp4
167.8 MB
26 - Introduction To Machine Learning/001 Introduction.mp4
166.4 MB
31 - Support Vector Machines/005 Support Vector Regression.mp4
164.7 MB
53 - End to End Deep Learning Project Using ANN/008 Finding Optimal Hidden Layers And Hidden Neurons In ANN.mp4
163.3 MB
62 - Transformers/014 Final Decoder Linear And Softmax Layer.mp4
162.8 MB
51 - NLP for Machine Learning/030 Best Practises For Solving ML Problems.mp4
162.4 MB
30 - Logistic Regression/004 Logistic Regression OVR.mp4
161.0 MB
23 - Inferential Statistics/005 T Stats With T test Hypothesis Testing.mp4
160.7 MB
22 - Probability Distribution Function For Data/005 Poisson Distribution.mp4
160.6 MB
36 - Adaboost Machine Learning Algorithm/003 Performance of Decision Tree Stump.mp4
160.5 MB
38 - Xgboost Machine Learning Algorithms/003 Model Training Xgboost.mp4
160.1 MB
35 - Random Forest Machine Learning/001 Bagging & Boosting Ensemble Techniques.mp4
159.0 MB
51 - NLP for Machine Learning/018 TF-IDF Instituion.mp4
155.9 MB
22 - Probability Distribution Function For Data/006 Normal Gaussian Distribution.mp4
155.5 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/017 Model Experiment Tracking With MLFLOW.mp4
155.2 MB
52 - Deep Learning/034 Convolution Operation In CNN.mp4
154.2 MB
52 - Deep Learning/012 Relu activation Function.mp4
154.0 MB
40 - PCA/001 Curse Of Dimensionality.mp4
153.1 MB
52 - Deep Learning/023 Mini Batch With SGD.mp4
150.5 MB
53 - End to End Deep Learning Project Using ANN/001 Discussing Classification Problem Statement And Setting Up Vs Code.mp4
148.5 MB
37 - Gradient Boosting/003 Gradient Boost Regression Model Training.mp4
148.3 MB
58 - LSTM And GRU End To End Deep Learning Project- Predicting Next Word/002 Data Collection And Data Processing.mp4
147.3 MB
10 - Exception Handling In Python/001 Exception Handling With try except else and finally blocks.mp4
146.7 MB
08 - Importing Creating Modules And Packages/002 Standard Library Overview.mp4
146.6 MB
22 - Probability Distribution Function For Data/008 Uniform Distribution.mp4
145.0 MB
51 - NLP for Machine Learning/014 Advantages and Disadvantages BOW.mp4
144.9 MB
52 - Deep Learning/038 Flattening and Fully Connected Layers.mp4
144.8 MB
02 - Python Programming Language/004 Python Basics-Syntax And Semantics.mp4
143.5 MB
22 - Probability Distribution Function For Data/004 Binomial Distribution.mp4
142.8 MB
01 - Getting Started/004 Getting Started With VS Code.mp4
142.7 MB
20 - Getting Started With Statistics/004 Measure Of Central Tendency.mp4
142.3 MB
52 - Deep Learning/028 Exploding Gradient Problem.mp4
142.1 MB
31 - Support Vector Machines/004 SVC Cost function.mp4
141.6 MB
24 - Feature Engineering/002 Handling Imbalanced Dataset.mp4
140.9 MB
53 - End to End Deep Learning Project Using ANN/004 Prediction With Trained ANN Model.mp4
140.2 MB
52 - Deep Learning/022 SGD.mp4
137.5 MB
09 - File Handling In Python/001 File Operation In Python.mp4
137.4 MB
43 - DBSCAN Clustering/001 How DBSCAN Works.mp4
136.0 MB
11 - OOPS Concepts With Classes And Objects/005 Encapsulation In OOPS.mp4
134.0 MB
35 - Random Forest Machine Learning/002 Random Forest Regression.mp4
132.9 MB
46 - Dockers For Beginners/004 Docker vs Virtual Machines.mp4
132.6 MB
34 - Decision Tree Classifier And Regressor/001 Introduction TO Decision Tree.mp4
131.9 MB
62 - Transformers/005 Multi Head Attention.mp4
131.9 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/002 Understanding Simple Linear regression Equations.mp4
131.4 MB
31 - Support Vector Machines/003 SVM Maths Intuition.mp4
131.3 MB
36 - Adaboost Machine Learning Algorithm/001 Introduction to Adaboost ML algorithm.mp4
130.5 MB
45 - Anomaly Detection Machine Learning Algorithms/002 DBSCAN Clustering Anomaly Detection.mp4
130.3 MB
41 - K Means Clustering Unsupervised ML/001 Kmeans Clustering Geometric Intuition.mp4
129.9 MB
01 - Getting Started/003 Anaconda Installation.mp4
129.0 MB
21 - Introduction To Probability/001 Addition Rule (For Mutual And Non Mutual Exclusive Events).mp4
128.3 MB
30 - Logistic Regression/001 Can Linear Regression Solve Classifier Problem.mp4
128.3 MB
35 - Random Forest Machine Learning/004 Feature Engineering Part 01.mp4
128.0 MB
32 - Naive Bayes Theorem/002 Variants Of Naive Baye's.mp4
127.4 MB
43 - DBSCAN Clustering/003 Pros and Cons Of DBSCAN.mp4
126.9 MB
37 - Gradient Boosting/002 Gradient Boost Classifier Training.mp4
126.2 MB
60 - Encoder Decoder Sequence To Sequence Architecture/002 Problems With Encoder And Decoder.mp4
126.0 MB
31 - Support Vector Machines/006 SVM Kernels.mp4
125.4 MB
51 - NLP for Machine Learning/017 N Gram BOW Implementation Using NLTK.mp4
123.6 MB
21 - Introduction To Probability/002 Probability-Multiplication Rule(Independent And Dependent Events).mp4
123.3 MB
36 - Adaboost Machine Learning Algorithm/006 Selecting New Datapoints for Next tree.mp4
122.8 MB
46 - Dockers For Beginners/005 Docker Installation.mp4
122.5 MB
52 - Deep Learning/031 CNN Introduction.mp4
121.8 MB
56 - End To End Deep Learning Project With Simple RNN/002 Getting Started With Word Embedding Layers.mp4
121.6 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/001 Simple Linear Regression Introduction.mp4
120.8 MB
57 - LSTM And GRU RNN Indepth Intuition/004 Input Gate And Candidate Memory In LSTM RNN.mp4
120.0 MB
56 - End To End Deep Learning Project With Simple RNN/003 Implementing Word Embedding With Keras Tensorflow.mp4
119.8 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/009 Overfitting and Underfitting.mp4
119.0 MB
52 - Deep Learning/029 Weight Initialisation Techniques.mp4
117.9 MB
18 - Getting Started With Flask Framework/004 Working With HTTP Verbs Get And Post.mp4
117.9 MB
51 - NLP for Machine Learning/010 What's Next.mp4
116.1 MB
51 - NLP for Machine Learning/028 Spam ham Project using BOW.mp4
116.0 MB
35 - Random Forest Machine Learning/006 Model Training Step.mp4
115.4 MB
11 - OOPS Concepts With Classes And Objects/003 Inheritance In OOPS.mp4
114.8 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/002 Github Repository Set Up With VS Code.mp4
114.7 MB
36 - Adaboost Machine Learning Algorithm/009 Adaboost Regressor Model Training.mp4
114.7 MB
16 - Python Multi Threading and Multi Processing/001 What Is Process And Threads.mp4
114.6 MB
62 - Transformers/006 Feed Forward Neural Network With Multi Head Attention.mp4
113.9 MB
22 - Probability Distribution Function For Data/012 Central Limit Theorem.mp4
113.3 MB
52 - Deep Learning/015 Softmax For Multiclass Classification.mp4
113.3 MB
11 - OOPS Concepts With Classes And Objects/004 Polymorphism In OOPS.mp4
113.1 MB
26 - Introduction To Machine Learning/004 Distance of a point from a plane.mp4
112.8 MB
41 - K Means Clustering Unsupervised ML/002 How to Find K Values.mp4
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28 - Ridge,Lasso And ElasticNet ML ALgorithms/004 Cleaning the Dataset_en.srt
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52 - Deep Learning/008 Vanishing Gradient Problem and Sigmoid_en.srt
36.4 kB
51 - NLP for Machine Learning/015 BOW implementation using NLTK_en.srt
36.2 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/016 Model Trainer And Evaluation With Hyperparameter Tuning_en.srt
36.0 kB
59 - Bidirectional RNN Architecture And Indepth Intuition/001 Bidirectional RNN Architecture and Intuition_en.srt
35.9 kB
62 - Transformers/010 Complete Encoder transformer architecture_en.srt
35.9 kB
55 - Simple RNN Indepth Intuition/001 Understanding RNN Architecture- RNN Vs ANN_en.srt
35.9 kB
17 - Memory Management With Python/001 Memory Allocation And DeallocationGarbage collection and Best Practises_en.srt
35.7 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/022 Final Model And Artifacts Pusher To AWS S3 buckets_en.srt
35.6 kB
41 - K Means Clustering Unsupervised ML/004 K means Clustering Implementation_en.srt
35.3 kB
52 - Deep Learning/005 ANN Intuition and Learning_en.srt
35.3 kB
03 - Python Control Flow/001 Conditional Statements (if, elif, else)_en.srt
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51 - NLP for Machine Learning/005 Text Preprocessing Stemming using NLTK_en.srt
34.9 kB
24 - Feature Engineering/001 Handling Missing Values_en.srt
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02 - Python Programming Language/005 Variables In Python_en.srt
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51 - NLP for Machine Learning/023 Word2Vec Cbow Intuition_en.srt
34.6 kB
13 - Data Analysis With Python/006 Data Visualization With Seaborn_en.srt
34.6 kB
38 - Xgboost Machine Learning Algorithms/002 Xgboost Regressor_en.srt
34.5 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/009 Implementing Data Ingestion Configuration_en.srt
34.3 kB
34 - Decision Tree Classifier And Regressor/007 Decision Tree Regression_en.srt
34.1 kB
46 - Dockers For Beginners/009 Docker Compose_en.srt
34.0 kB
02 - Python Programming Language/004 Python Basics-Syntax And Semantics_en.srt
33.9 kB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/010 Linear Regression with OLS_en.srt
33.9 kB
52 - Deep Learning/019 Loss Function Classification Problem_en.srt
33.7 kB
46 - Dockers For Beginners/006 Docker Basic Commands_en.srt
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55 - Simple RNN Indepth Intuition/002 Forward Propogation With Time In RNN Training_en.srt
33.2 kB
51 - NLP for Machine Learning/031 Part 1-Text Classification With Word2vec And AvgWord2vec_en.srt
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52 - Deep Learning/006 Back Propogation and Weight Updation_en.srt
33.0 kB
11 - OOPS Concepts With Classes And Objects/003 Inheritance In OOPS_en.srt
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27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/003 Cost Function_en.srt
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30 - Logistic Regression/010 Logistic Regression ROC_en.srt
32.7 kB
48 - End To End Machine Learning Project With AWS,Azure Deployment/009 ML Project Deployment Using AWS Beanstalk_en.srt
32.7 kB
31 - Support Vector Machines/009 Support Vector Regression Implementation_en.srt
32.6 kB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/003 Basic Regression Project From Scratch-EDA And Feature Engineering_en.srt
32.3 kB
51 - NLP for Machine Learning/022 Word2Vec Intuition_en.srt
32.1 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/013 Data Transformation Architecture_en.srt
32.0 kB
57 - LSTM And GRU RNN Indepth Intuition/001 Why LSTM RNN_en.srt
31.9 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/024 Github Action-Docker Image Push to AWS ECR Repo Implementation_en.srt
31.6 kB
08 - Importing Creating Modules And Packages/002 Standard Library Overview_en.srt
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08 - Importing Creating Modules And Packages/001 Import Modules And Packages In Python_en.srt
31.3 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/001 Project Structure Set up With Environment_en.srt
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11 - OOPS Concepts With Classes And Objects/004 Polymorphism In OOPS_en.srt
31.3 kB
30 - Logistic Regression/002 Logistic Regression Indepth Math Intuition_en.srt
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25 - Exploratory Data Analysis and Feature Engineering/004 Part 2- EDA Google Play Store Cleaned Dataset_en.srt
31.2 kB
09 - File Handling In Python/001 File Operation In Python_en.srt
30.5 kB
56 - End To End Deep Learning Project With Simple RNN/003 Implementing Word Embedding With Keras Tensorflow_en.srt
30.5 kB
14 - Working With Sqlite3/002 Crud Operation With SQLite3 And Python_en.srt
30.2 kB
47 - GIT For Beginners/003 Resolving Git Branch Merge Conflict_en.srt
30.1 kB
52 - Deep Learning/003 3 - Perception Intuition_en.srt
29.9 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/003 Packaging the Project With Setup.py_en.srt
29.9 kB
53 - End to End Deep Learning Project Using ANN/007 ANN Regresiion Practical Implementation_en.srt
29.3 kB
31 - Support Vector Machines/007 Support Vector Classifiers_en.srt
29.3 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/017 Model Experiment Tracking With MLFLOW_en.srt
29.3 kB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/003 Types Of cross Validation_en.srt
29.2 kB
19 - Getting Started With Streamlit Web Framework/001 Building Web App Using Streamlit_en.srt
29.0 kB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/007 Performance Metrics_en.srt
28.9 kB
40 - PCA/002 Feature Selection and Extraction_en.srt
28.4 kB
52 - Deep Learning/034 Convolution Operation In CNN_en.srt
28.2 kB
52 - Deep Learning/018 Regression Cost Function_en.srt
28.1 kB
53 - End to End Deep Learning Project Using ANN/008 Finding Optimal Hidden Layers And Hidden Neurons In ANN_en.srt
28.1 kB
02 - Python Programming Language/007 Operators In Python_en.srt
28.0 kB
26 - Introduction To Machine Learning/005 Instance based Vs Model based learning_en.srt
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28 - Ridge,Lasso And ElasticNet ML ALgorithms/006 Feature Selection_en.srt
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24 - Feature Engineering/004 4.0-Handling-Outliers.ipynb
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13 - Data Analysis With Python/004 Reading Data From Various Data Source Using Pandas_en.srt
27.3 kB
58 - LSTM And GRU End To End Deep Learning Project- Predicting Next Word/002 Data Collection And Data Processing_en.srt
27.2 kB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/001 Ridge Regression_en.srt
27.2 kB
33 - K Nearest Neighbour ML Algorithm/002 Optimization Of KNN- KDtree And Ball Tree Indepth Intuition_en.srt
27.1 kB
34 - Decision Tree Classifier And Regressor/008 Decision Tree Implementation_en.srt
27.0 kB
15 - Logging In Python/001 Logging Practical Implementation In Python_en.srt
26.8 kB
57 - LSTM And GRU RNN Indepth Intuition/006 Training Process In LSTM RNN_en.srt
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24 - Feature Engineering/005 5.0-Nominal-or-OHE.ipynb
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24 - Feature Engineering/006 7.0-Label-and-Ordinal.ipynb
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42 - Hierarichal Clustering/001 Hierarichal Clustering_en.srt
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40 - PCA/005 Eigen Decomposition on Covariance Matrix_en.srt
26.2 kB
54 - NLP With Deep Learning/001 Introduction To NLP In Deep Learning_en.srt
26.0 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/004 Logging And Exception Handling Implementation_en.srt
25.9 kB
51 - NLP for Machine Learning/032 Part 2- Text Classification With Word2vec And AvgWord2vec_en.srt
25.7 kB
51 - NLP for Machine Learning/001 Roadmap to Learn NLP for Machine Learning_en.srt
25.3 kB
26 - Introduction To Machine Learning/002 Types of ML Techniques_en.srt
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52 - Deep Learning/010 Sigmoid Activation Function 2.0_en.srt
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62 - Transformers/013 Encoder Decoder Multi Head Attention_en.srt
24.9 kB
51 - NLP for Machine Learning/004 Tokenisation Practicals_en.srt
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53 - End to End Deep Learning Project Using ANN/004 Prediction With Trained ANN Model_en.srt
24.8 kB
40 - PCA/003 PCA Geometric Intuition_en.srt
24.7 kB
33 - K Nearest Neighbour ML Algorithm/001 KNN Classification And Regression Indepth Intuition_en.srt
24.7 kB
57 - LSTM And GRU RNN Indepth Intuition/003 Forget Gate In LSTM RNN_en.srt
24.6 kB
46 - Dockers For Beginners/007 Creating a Docker Image_en.srt
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35 - Random Forest Machine Learning/004 Feature Engineering Part 01_en.srt
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22 - Probability Distribution Function For Data/004 Binomial Distribution_en.srt
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37 - Gradient Boosting/001 Gradient Boosting Regression_en.srt
24.4 kB
47 - GIT For Beginners/002 Git Merge, Push, Checkout and Log with commands_en.srt
24.4 kB
22 - Probability Distribution Function For Data/007 Standard Normal Distribution And Z Score_en.srt
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31 - Support Vector Machines/008 SVM Kernels implementation_en.srt
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40 - PCA/001 Curse Of Dimensionality_en.srt
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27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/005 Convergence Algorithm Part02_en.srt
23.9 kB
56 - End To End Deep Learning Project With Simple RNN/002 Getting Started With Word Embedding Layers_en.srt
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56 - End To End Deep Learning Project With Simple RNN/004 Loading And Understanding IMDB Dataset And Feature Engineering_en.srt
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30 - Logistic Regression/005 Logistic Regression Implementation_en.srt
23.7 kB
35 - Random Forest Machine Learning/001 Bagging & Boosting Ensemble Techniques_en.srt
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34 - Decision Tree Classifier And Regressor/001 Introduction TO Decision Tree_en.srt
22.8 kB
22 - Probability Distribution Function For Data/008 Uniform Distribution_en.srt
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16 - Python Multi Threading and Multi Processing/001 What Is Process And Threads_en.srt
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22 - Probability Distribution Function For Data/006 Normal Gaussian Distribution_en.srt
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18 - Getting Started With Flask Framework/002 Understanding Simple Flask App Skeleton_en.srt
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22 - Probability Distribution Function For Data/005 Poisson Distribution_en.srt
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01 - Getting Started/004 Getting Started With VS Code_en.srt
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52 - Deep Learning/030 Dropout Layers_en.srt
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24 - Feature Engineering/003 Handling Imbalanced Dataset Using Smote_en.srt
22.5 kB
42 - Hierarichal Clustering/002 Agglomerative Clustering Implementation_en.srt
22.5 kB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/002 Github Repository Set Up With VS Code_en.srt
22.3 kB
26 - Introduction To Machine Learning/003 Equation of Line, 3d, and Hyperplane_en.srt
21.7 kB
30 - Logistic Regression/001 Can Linear Regression Solve Classifier Problem_en.srt
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62 - Transformers/014 Final Decoder Linear And Softmax Layer_en.srt
21.5 kB
24 - Feature Engineering/005 Data Encoding- Nominal Or OHE_en.srt
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49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/021 Batch Prediction Pipeline Implementation_en.srt
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30 - Logistic Regression/006 Grid Search Hyper Parameter_en.srt
21.3 kB
18 - Getting Started With Flask Framework/004 Working With HTTP Verbs Get And Post_en.srt
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53 - End to End Deep Learning Project Using ANN/001 Discussing Classification Problem Statement And Setting Up Vs Code_en.srt
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46 - Dockers For Beginners/005 Docker Installation_en.srt
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35 - Random Forest Machine Learning/006 Model Training Step_en.srt
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01 - Getting Started/003 Anaconda Installation_en.srt
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52 - Deep Learning/024 SGD With Momentum_en.srt
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36 - Adaboost Machine Learning Algorithm/008 Adaboost Model Training_en.srt
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52 - Deep Learning/002 Why Deep Learning is getting Popular_en.srt
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49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/006 Setting Up MongoDb Atlas_en.srt
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34 - Decision Tree Classifier And Regressor/002 Entropy and Gini Impurity_en.srt
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51 - NLP for Machine Learning/008 Parts of Speech Tagging Using NLTK_en.srt
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24 - Feature Engineering/002 Handling Imbalanced Dataset_en.srt
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51 - NLP for Machine Learning/028 Spam ham Project using BOW_en.srt
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35 - Random Forest Machine Learning/008 Feature Engineering_en.srt
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46 - Dockers For Beginners/002 Dockers and What is Containers_en.srt
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52 - Deep Learning/021 Gradient Descent Optimisers_en.srt
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40 - PCA/006 PCA Implementation_en.srt
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51 - NLP for Machine Learning/012 Advantages and Disadvantages of OHE_en.srt
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51 - NLP for Machine Learning/010 What's Next_en.srt
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12 - Advance Python/002 Generators With Practical Implementation_en.srt
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16 - Python Multi Threading and Multi Processing/002 2-Multithreading Practical Implementation With Python_en.srt
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05 - Functions In Python/004 Map Function In Python_en.srt
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35 - Random Forest Machine Learning/002 Random Forest Regression_en.srt
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52 - Deep Learning/029 Weight Initialisation Techniques_en.srt
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57 - LSTM And GRU RNN Indepth Intuition/007 Variants Of LSTM RNN_en.srt
19.8 kB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/004 Convergence Algorithm_en.srt
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23 - Inferential Statistics/002 What is P value_en.srt
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28 - Ridge,Lasso And ElasticNet ML ALgorithms/008 Hyperparameter tuning_en.srt
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02 - Python Programming Language/001 Getting Started With VS Code_en.srt
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52 - Deep Learning/015 Softmax For Multiclass Classification_en.srt
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57 - LSTM And GRU RNN Indepth Intuition/002 LSTM RNN Architecture_en.srt
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52 - Deep Learning/007 Chain Rule of Derivatives_en.srt
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18 - Getting Started With Flask Framework/001 Introduction To Flask Framework_en.srt
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32 - Naive Bayes Theorem/002 Variants Of Naive Baye's_en.srt
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21 - Introduction To Probability/001 Addition Rule (For Mutual And Non Mutual Exclusive Events)_en.srt
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52 - Deep Learning/037 Max, Min and Average Pooling_en.srt
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34 - Decision Tree Classifier And Regressor/010 Diabetes Prediction Using Decision Tree Regressor_en.srt
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52 - Deep Learning/028 Exploding Gradient Problem_en.srt
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22 - Probability Distribution Function For Data/012 Central Limit Theorem_en.srt
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49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/018 MLFLOW Experiment Tracking With Remote Respository Dagshub_en.srt
18.3 kB
31 - Support Vector Machines/003 SVM Maths Intuition_en.srt
18.3 kB
05 - Functions In Python/003 Lambda Function In Python_en.srt
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51 - NLP for Machine Learning/006 Text Preprocessing Lemmatization NLTK_en.srt
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40 - PCA/004 PCA Maths Intuition 01_en.srt
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20 - Getting Started With Statistics/005 Measure Of Dispersion_en.srt
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51 - NLP for Machine Learning/030 Best Practises For Solving ML Problems_en.srt
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49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/023 Building Docker Image And Github Actions_en.srt
18.1 kB
41 - K Means Clustering Unsupervised ML/002 How to Find K Values_en.srt
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23 - Inferential Statistics/011 ChiSquare Goodness OF Fit_en.srt
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04 - Inbuilt Data Structures In Python/009 Real world Usecases Of List_en.srt
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32 - Naive Bayes Theorem/003 Naive Baye's Practical Implementation_en.srt
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36 - Adaboost Machine Learning Algorithm/001 Introduction to Adaboost ML algorithm_en.srt
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51 - NLP for Machine Learning/013 Bag of Words Intuition_en.srt
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51 - NLP for Machine Learning/018 TF-IDF Instituion_en.srt
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02 - Python Programming Language/006 Basics Data Types In Python_en.srt
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51 - NLP for Machine Learning/014 Advantages and Disadvantages BOW_en.srt
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31 - Support Vector Machines/006 SVM Kernels_en.srt
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31 - Support Vector Machines/005 Support Vector Regression_en.srt
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37 - Gradient Boosting/003 Gradient Boost Regression Model Training_en.srt
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23 - Inferential Statistics/005 T Stats With T test Hypothesis Testing_en.srt
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52 - Deep Learning/012 Relu activation Function_en.srt
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16 - Python Multi Threading and Multi Processing/005 Implement Web Scraping Usecase With Multithreading_en.srt
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27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/009 Overfitting and Underfitting_en.srt
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52 - Deep Learning/023 Mini Batch With SGD_en.srt
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60 - Encoder Decoder Sequence To Sequence Architecture/002 Problems With Encoder And Decoder_en.srt
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22 - Probability Distribution Function For Data/009 Log Normal Distribution_en.srt
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18 - Getting Started With Flask Framework/003 Integrating HTML With Flask Web App_en.srt
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35 - Random Forest Machine Learning/005 Feature Engineering Part 02_en.srt
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43 - DBSCAN Clustering/001 How DBSCAN Works_en.srt
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34 - Decision Tree Classifier And Regressor/003 Information Gain_en.srt
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58 - LSTM And GRU End To End Deep Learning Project- Predicting Next Word/003 LSTM Neural Network Model Training_en.srt
15.5 kB
52 - Deep Learning/009 Sigmoid Activation Function_en.srt
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51 - NLP for Machine Learning/024 SkipGram Indepth Intuition_en.srt
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34 - Decision Tree Classifier And Regressor/006 Post Pruning & Pre Pruning_en.srt
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30 - Logistic Regression/004 Logistic Regression OVR_en.srt
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28 - Ridge,Lasso And ElasticNet ML ALgorithms/002 Lasso & ElasticNet_en.srt
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20 - Getting Started With Statistics/012 5 Number Summary-Descriptive Statistics_en.srt
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51 - NLP for Machine Learning/003 Tokenisation and Basic Terminologies_en.srt
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52 - Deep Learning/036 Operation Of CNN Vs ANN_en.srt
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52 - Deep Learning/031 CNN Introduction_en.srt
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28 - Ridge,Lasso And ElasticNet ML ALgorithms/007 Model Training_en.srt
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53 - End to End Deep Learning Project Using ANN/005 Integrating ANN Model With Streamlit Web APP_en.srt
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27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/002 Understanding Simple Linear regression Equations_en.srt
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26 - Introduction To Machine Learning/001 Introduction_en.srt
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38 - Xgboost Machine Learning Algorithms/003 Model Training Xgboost_en.srt
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24 - Feature Engineering/004 Handling Outliers Using Python_en.srt
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34 - Decision Tree Classifier And Regressor/009 Decision tree Prepruning_en.srt
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15 - Logging In Python/003 Logging With A Real World Example_en.srt
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52 - Deep Learning/022 SGD_en.srt
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31 - Support Vector Machines/001 Introduction to support vector Machine_en.srt
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57 - LSTM And GRU RNN Indepth Intuition/005 Output Gate In LSTM RNN_en.srt
13.9 kB
02 - Python Programming Language/002 Different Ways of Creating Virtual Environment_en.srt
13.9 kB
20 - Getting Started With Statistics/001 What is Statistics And its Application_en.srt
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19 - Getting Started With Streamlit Web Framework/002 Example Of ML App With Streamlit Web App_en.srt
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36 - Adaboost Machine Learning Algorithm/009 Adaboost Regressor Model Training_en.srt
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45 - Anomaly Detection Machine Learning Algorithms/002 DBSCAN Clustering Anomaly Detection_en.srt
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36 - Adaboost Machine Learning Algorithm/002 Creating Decision Tree Stump_en.srt
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51 - NLP for Machine Learning/011 One Hot Encoding Intuition_en.srt
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20 - Getting Started With Statistics/008 What Are Variables_en.srt
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49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/005 Introduction To ETL Pipelines_en.srt
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43 - DBSCAN Clustering/003 Pros and Cons Of DBSCAN_en.srt
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51 - NLP for Machine Learning/017 N Gram BOW Implementation Using NLTK_en.srt
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51 - NLP for Machine Learning/027 Word2vec Practical Implementation Gensim_en.srt
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51 - NLP for Machine Learning/016 N Grams_en.srt
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45 - Anomaly Detection Machine Learning Algorithms/003 Local Outlier Factor Anomaly Detection_en.srt
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56 - End To End Deep Learning Project With Simple RNN/006 Prediction From Trained Simple RNN_en.srt
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52 - Deep Learning/032 Human Brain Vs CNN_en.srt
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52 - Deep Learning/001 Introduction_en.srt
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36 - Adaboost Machine Learning Algorithm/003 Performance of Decision Tree Stump_en.srt
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48 - End To End Machine Learning Project With AWS,Azure Deployment/007 Model Hyperparameter Tuning Implementation_en.srt
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23 - Inferential Statistics/009 Confidence Interval And MArgin Of Error_en.srt
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24 - Feature Engineering/007 8.0-Target-Guided-Ordinal-Encoding.ipynb
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20 - Getting Started With Statistics/009 What are Random Variables_en.srt
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52 - Deep Learning/011 Tanh Activation Function_en.srt
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21 - Introduction To Probability/002 Probability-Multiplication Rule(Independent And Dependent Events)_en.srt
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11 - OOPS Concepts With Classes And Objects/010 Custom Exception Handling_en.srt
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35 - Random Forest Machine Learning/009 Model Training_en.srt
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52 - Deep Learning/004 Advantages and Disadvantages of Perceptron_en.srt
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22 - Probability Distribution Function For Data/010 Power Law Distribution_en.srt
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51 - NLP for Machine Learning/020 TFIDF Practical implementation Python_en.srt
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23 - Inferential Statistics/010 What is Chi Square Test_en.srt
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33 - K Nearest Neighbour ML Algorithm/003 KNN Classifier And Regressor Classification_en.srt
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01 - Getting Started/001 Welcome To The Course_en.srt
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14 - Working With Sqlite3/0. Websites you may like/[FreeCourseSite.com].url
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18 - Getting Started With Flask Framework/0. Websites you may like/[FreeCourseSite.com].url
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21 - Introduction To Probability/0. Websites you may like/[FreeCourseSite.com].url
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22 - Probability Distribution Function For Data/0. Websites you may like/[FreeCourseSite.com].url
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24 - Feature Engineering/0. Websites you may like/[FreeCourseSite.com].url
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25 - Exploratory Data Analysis and Feature Engineering/0. Websites you may like/[FreeCourseSite.com].url
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25 - Exploratory Data Analysis and Feature Engineering/[FreeCourseSite.com].url
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26 - Introduction To Machine Learning/0. Websites you may like/[FreeCourseSite.com].url
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27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/0. Websites you may like/[FreeCourseSite.com].url
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27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/[FreeCourseSite.com].url
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37 - Gradient Boosting/0. Websites you may like/[FreeCourseSite.com].url
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22 - Probability Distribution Function For Data/[CourseClub.Me].url
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23 - Inferential Statistics/0. Websites you may like/[CourseClub.Me].url
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23 - Inferential Statistics/[CourseClub.Me].url
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24 - Feature Engineering/0. Websites you may like/[CourseClub.Me].url
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24 - Feature Engineering/[CourseClub.Me].url
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25 - Exploratory Data Analysis and Feature Engineering/0. Websites you may like/[CourseClub.Me].url
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25 - Exploratory Data Analysis and Feature Engineering/[CourseClub.Me].url
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26 - Introduction To Machine Learning/0. Websites you may like/[CourseClub.Me].url
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26 - Introduction To Machine Learning/[CourseClub.Me].url
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27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/0. Websites you may like/[CourseClub.Me].url
122 Bytes
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/[CourseClub.Me].url
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28 - Ridge,Lasso And ElasticNet ML ALgorithms/0. Websites you may like/[CourseClub.Me].url
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28 - Ridge,Lasso And ElasticNet ML ALgorithms/[CourseClub.Me].url
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29 - Steps By Step Project Implementation With LifeCycle OF ML Project/0. Websites you may like/[CourseClub.Me].url
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29 - Steps By Step Project Implementation With LifeCycle OF ML Project/[CourseClub.Me].url
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30 - Logistic Regression/0. Websites you may like/[CourseClub.Me].url
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30 - Logistic Regression/[CourseClub.Me].url
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31 - Support Vector Machines/0. Websites you may like/[CourseClub.Me].url
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31 - Support Vector Machines/[CourseClub.Me].url
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32 - Naive Bayes Theorem/0. Websites you may like/[CourseClub.Me].url
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32 - Naive Bayes Theorem/[CourseClub.Me].url
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33 - K Nearest Neighbour ML Algorithm/0. Websites you may like/[CourseClub.Me].url
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33 - K Nearest Neighbour ML Algorithm/[CourseClub.Me].url
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34 - Decision Tree Classifier And Regressor/0. Websites you may like/[CourseClub.Me].url
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34 - Decision Tree Classifier And Regressor/[CourseClub.Me].url
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35 - Random Forest Machine Learning/0. Websites you may like/[CourseClub.Me].url
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35 - Random Forest Machine Learning/[CourseClub.Me].url
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36 - Adaboost Machine Learning Algorithm/0. Websites you may like/[CourseClub.Me].url
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36 - Adaboost Machine Learning Algorithm/[CourseClub.Me].url
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37 - Gradient Boosting/0. Websites you may like/[CourseClub.Me].url
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37 - Gradient Boosting/[CourseClub.Me].url
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38 - Xgboost Machine Learning Algorithms/0. Websites you may like/[CourseClub.Me].url
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38 - Xgboost Machine Learning Algorithms/[CourseClub.Me].url
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39 - Unsupervised Machine Learning/0. Websites you may like/[CourseClub.Me].url
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39 - Unsupervised Machine Learning/[CourseClub.Me].url
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40 - PCA/0. Websites you may like/[CourseClub.Me].url
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40 - PCA/[CourseClub.Me].url
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41 - K Means Clustering Unsupervised ML/0. Websites you may like/[CourseClub.Me].url
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41 - K Means Clustering Unsupervised ML/[CourseClub.Me].url
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42 - Hierarichal Clustering/0. Websites you may like/[CourseClub.Me].url
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42 - Hierarichal Clustering/[CourseClub.Me].url
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43 - DBSCAN Clustering/0. Websites you may like/[CourseClub.Me].url
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43 - DBSCAN Clustering/[CourseClub.Me].url
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44 - Silhoutte Clustering/0. Websites you may like/[CourseClub.Me].url
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44 - Silhoutte Clustering/[CourseClub.Me].url
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45 - Anomaly Detection Machine Learning Algorithms/0. Websites you may like/[CourseClub.Me].url
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45 - Anomaly Detection Machine Learning Algorithms/[CourseClub.Me].url
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46 - Dockers For Beginners/0. Websites you may like/[CourseClub.Me].url
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46 - Dockers For Beginners/[CourseClub.Me].url
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47 - GIT For Beginners/0. Websites you may like/[CourseClub.Me].url
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47 - GIT For Beginners/[CourseClub.Me].url
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48 - End To End Machine Learning Project With AWS,Azure Deployment/0. Websites you may like/[CourseClub.Me].url
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48 - End To End Machine Learning Project With AWS,Azure Deployment/[CourseClub.Me].url
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49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/0. Websites you may like/[CourseClub.Me].url
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49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/[CourseClub.Me].url
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50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/0. Websites you may like/[CourseClub.Me].url
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50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/[CourseClub.Me].url
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51 - NLP for Machine Learning/0. Websites you may like/[CourseClub.Me].url
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51 - NLP for Machine Learning/[CourseClub.Me].url
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52 - Deep Learning/0. Websites you may like/[CourseClub.Me].url
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52 - Deep Learning/[CourseClub.Me].url
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53 - End to End Deep Learning Project Using ANN/0. Websites you may like/[CourseClub.Me].url
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53 - End to End Deep Learning Project Using ANN/[CourseClub.Me].url
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54 - NLP With Deep Learning/0. Websites you may like/[CourseClub.Me].url
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54 - NLP With Deep Learning/[CourseClub.Me].url
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55 - Simple RNN Indepth Intuition/0. Websites you may like/[CourseClub.Me].url
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55 - Simple RNN Indepth Intuition/[CourseClub.Me].url
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56 - End To End Deep Learning Project With Simple RNN/0. Websites you may like/[CourseClub.Me].url
122 Bytes
56 - End To End Deep Learning Project With Simple RNN/[CourseClub.Me].url
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57 - LSTM And GRU RNN Indepth Intuition/0. Websites you may like/[CourseClub.Me].url
122 Bytes
57 - LSTM And GRU RNN Indepth Intuition/[CourseClub.Me].url
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58 - LSTM And GRU End To End Deep Learning Project- Predicting Next Word/0. Websites you may like/[CourseClub.Me].url
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58 - LSTM And GRU End To End Deep Learning Project- Predicting Next Word/[CourseClub.Me].url
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59 - Bidirectional RNN Architecture And Indepth Intuition/0. Websites you may like/[CourseClub.Me].url
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59 - Bidirectional RNN Architecture And Indepth Intuition/[CourseClub.Me].url
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60 - Encoder Decoder Sequence To Sequence Architecture/0. Websites you may like/[CourseClub.Me].url
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60 - Encoder Decoder Sequence To Sequence Architecture/[CourseClub.Me].url
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61 - Attention Mechanism- Seq2Seq Networks/0. Websites you may like/[CourseClub.Me].url
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61 - Attention Mechanism- Seq2Seq Networks/[CourseClub.Me].url
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62 - Transformers/0. Websites you may like/[CourseClub.Me].url
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62 - Transformers/[CourseClub.Me].url
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[CourseClub.Me].url
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09 - File Handling In Python/003 File handling Operation Assignment With Solutions.html
101 Bytes
11 - OOPS Concepts With Classes And Objects/011 Complete OOPS Practise Question With Solutions.html
101 Bytes
11 - OOPS Concepts With Classes And Objects/007 Practise Assignments With Solutions.html
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62 - Transformers/external-links.txt
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10 - Exception Handling In Python/002 Exception Handling Practise Assignments And Solution.html
76 Bytes
11 - OOPS Concepts With Classes And Objects/002 Classes And Objects Practise Questions And Solutions.html
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62 - Transformers/001 Transformer-illustration.url
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08 - Importing Creating Modules And Packages/003 Packages Assignment And Practise Questions With Solutions.html
67 Bytes
14 - Working With Sqlite3/001 SQLITE3 Assignments And Solutions.html
63 Bytes
05 - Functions In Python/006 Functions Assignments and Practise Content.html
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15 - Logging In Python/004 Logging Assignments And Solutions.html
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