[FreeCourseSite.com] Udemy - Data Science Mastery Complete Data Science Bootcamp 2025

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[FreeCourseSite.com] Udemy - Data Science Mastery Complete Data Science Bootcamp 2025

磁力链接/BT种子简介

种子哈希：1479a8179bc8f15107de06992550ee4ad5e25090
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收录时间：2025-04-27
最近下载：2025-08-17

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文件列表

  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/101 - Day 6 SequencetoSequence Models and Applications.mp4 678.3 MB
  • 6 - Week 5 Introduction to Machine Learning/50 - Day 3 Advanced Regression Models Polynomial Regression and Regularization.mp4 516.8 MB
  • 2 - Week 1 Python Programming Basics/22 - Day 7 Pythonic Code and Project Work.mp4 505.3 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/94 - Day 7 CNN Project Image Classification on Fashion MNIST or CIFAR10.mp4 430.2 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/85 - Day 6 Building Neural Networks with PyTorch.mp4 409.5 MB
  • 9 - Week 8 Model Tuning and Optimization/74 - Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 407.4 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/96 - Day 1 Introduction to Sequence Modeling and RNNs.mp4 395.6 MB
  • 5 - Week 4 Probability and Statistics for Machine Learning/46 - Day 7 Statistical Analysis Project Analyzing RealWorld Data.mp4 350.9 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/88 - Day 1 Introduction to Convolutional Neural Networks.mp4 345.3 MB
  • 3 - Week 2 Data Science Essentials/29 - Day 6 Data Visualization with Matplotlib and Seaborn.mp4 331.8 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/97 - Day 2 Understanding RNN Architecture and Backpropagation Through Time BPTT.mp4 313.3 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/83 - Day 4 Gradient Descent and Optimization Techniques.mp4 303.5 MB
  • 4 - Week 3 Mathematics for Machine Learning/36 - Day 5 Probability Theory and Distributions.mp4 296.2 MB
  • 9 - Week 8 Model Tuning and Optimization/77 - Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 287.9 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/106 - Day 3 SelfAttention and MultiHead Attention in Transformers.mp4 284.1 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/109 - Day 6 Advanced Transformers BERT Variants and GPT3.mp4 282.3 MB
  • 14 - Week 13 Transfer Learning and FineTuning/113 - Day 2 Transfer Learning in Computer Vision.mp4 278.7 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/108 - Day 5 HandsOn with PreTrained Transformers BERT and GPT.mp4 276.4 MB
  • 3 - Week 2 Data Science Essentials/30 - Day 7 Exploratory Data Analysis EDA Project.mp4 274.3 MB
  • 8 - Week 7 Advanced Machine Learning Algorithms/68 - Day 5 LightGBM and CatBoost.mp4 271.3 MB
  • 7 - Week 6 Feature Engineering and Model Evaluation/62 - Day 7 CrossValidation and Hyperparameter Tuning.mp4 270.1 MB
  • 6 - Week 5 Introduction to Machine Learning/51 - Day 4 Introduction to Classification and Logistic Regression.mp4 268.1 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/110 - Day 7 Transformer Project Text Summarization or Translation.mp4 258.5 MB
  • 14 - Week 13 Transfer Learning and FineTuning/118 - Day 7 Transfer Learning Project FineTuning for a Custom Task.mp4 257.5 MB
  • 3 - Week 2 Data Science Essentials/26 - Day 3 Introduction to Pandas for Data Manipulation.mp4 250.2 MB
  • 8 - Week 7 Advanced Machine Learning Algorithms/67 - Day 4 Introduction to XGBoost.mp4 249.8 MB
  • 9 - Week 8 Model Tuning and Optimization/78 - Day 7 Optimization Project Building and Tuning a Final Model.mp4 245.3 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/84 - Day 5 Building Neural Networks with TensorFlow and Keras.mp4 244.1 MB
  • 8 - Week 7 Advanced Machine Learning Algorithms/70 - Day 7 Ensemble Learning Project Comparing Models on a Real Dataset.mp4 244.0 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/92 - Day 5 Building CNN Architectures with PyTorch.mp4 243.2 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/100 - Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4 241.3 MB
  • 14 - Week 13 Transfer Learning and FineTuning/115 - Day 4 Transfer Learning in NLP.mp4 240.7 MB
  • 18 - Handson Projects on Data Science in Python/215 - 2 Image Classifier using Keras and TensorFlow.mp4 239.1 MB
  • 3 - Week 2 Data Science Essentials/24 - Day 1 Introduction to NumPy for Numerical Computing.mp4 236.2 MB
  • 7 - Week 6 Feature Engineering and Model Evaluation/60 - Day 5 Creating and Transforming Features.mp4 230.8 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/91 - Day 4 Building CNN Architectures with Keras and TensorFlow.mp4 228.6 MB
  • 14 - Week 13 Transfer Learning and FineTuning/114 - Day 3 FineTuning Techniques in Computer Vision.mp4 227.4 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/105 - Day 2 Introduction to Transformers Architecture.mp4 224.1 MB
  • 7 - Week 6 Feature Engineering and Model Evaluation/59 - Day 4 Feature Selection Techniques.mp4 218.7 MB
  • 18 - Handson Projects on Data Science in Python/223 - 10 Basic Neural Network from scratch.mp4 213.3 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/93 - Day 6 Regularization and Data Augmentation for CNNs.mp4 211.1 MB
  • 2 - Week 1 Python Programming Basics/16 - Day 1 Introduction to Python and Development Setup.mp4 202.7 MB
  • 9 - Week 8 Model Tuning and Optimization/75 - Day 4 Regularization Techniques for Model Optimization.mp4 201.3 MB
  • 18 - Handson Projects on Data Science in Python/243 - 30 Automatic Essay Grading using BERT.mp4 196.4 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/107 - Day 4 Positional Encoding and FeedForward Networks.mp4 195.8 MB
  • 14 - Week 13 Transfer Learning and FineTuning/112 - Day 1 Introduction to Transfer Learning.mp4 195.5 MB
  • 7 - Week 6 Feature Engineering and Model Evaluation/57 - Day 2 Data Scaling and Normalization.mp4 190.0 MB
  • 18 - Handson Projects on Data Science in Python/226 - 13 Dog vs Cat Classifier with CNN.mp4 187.8 MB
  • 8 - Week 7 Advanced Machine Learning Algorithms/66 - Day 3 Boosting and Gradient Boosting.mp4 183.6 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/102 - Day 7 RNN Project Text Generation or Sentiment Analysis.mp4 182.1 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/81 - Day 2 Forward Propagation and Activation Functions.mp4 180.7 MB
  • 2 - Week 1 Python Programming Basics/20 - Day 5 Working with Strings.mp4 179.8 MB
  • 8 - Week 7 Advanced Machine Learning Algorithms/65 - Day 2 Bagging and Random Forests.mp4 178.7 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/80 - Day 1 Introduction to Deep Learning and Neural Networks.mp4 177.0 MB
  • 14 - Week 13 Transfer Learning and FineTuning/116 - Day 5 FineTuning Techniques in NLP.mp4 175.8 MB
  • 6 - Week 5 Introduction to Machine Learning/54 - Day 7 Supervised Learning Mini Project.mp4 172.9 MB
  • 7 - Week 6 Feature Engineering and Model Evaluation/56 - Day 1 Introduction to Feature Engineering.mp4 170.1 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/90 - Day 3 Pooling Layers and Dimensionality Reduction.mp4 165.1 MB
  • 8 - Week 7 Advanced Machine Learning Algorithms/69 - Day 6 Handling Imbalanced Data.mp4 165.0 MB
  • 9 - Week 8 Model Tuning and Optimization/73 - Day 2 Grid Search and Random Search.mp4 161.1 MB
  • 9 - Week 8 Model Tuning and Optimization/72 - Day 1 Introduction to Hyperparameter Tuning.mp4 160.2 MB
  • 6 - Week 5 Introduction to Machine Learning/48 - Day 1 Machine Learning Basics and Terminology.mp4 154.0 MB
  • 7 - Week 6 Feature Engineering and Model Evaluation/58 - Day 3 Encoding Categorical Variables.mp4 154.0 MB
  • 2 - Week 1 Python Programming Basics/17 - Day 2 Control Flow in Python.mp4 153.4 MB
  • 14 - Week 13 Transfer Learning and FineTuning/117 - Day 6 Domain Adaptation and Transfer Learning Challenges.mp4 151.3 MB
  • 9 - Week 8 Model Tuning and Optimization/76 - Day 5 CrossValidation and Model Evaluation Techniques.mp4 146.4 MB
  • 17 - Complete PyTorch Tutorials/204 - 8 Advanced Neural Network Architectures.mp4 144.8 MB
  • 18 - Handson Projects on Data Science in Python/225 - 12 Predict Diabetes using logistic regression.mp4 139.9 MB
  • 2 - Week 1 Python Programming Basics/19 - Day 4 Data Structures Lists Tuples Dictionaries Sets.mp4 137.8 MB
  • 5 - Week 4 Probability and Statistics for Machine Learning/41 - Day 2 Probability Distributions in Machine Learning.mp4 133.8 MB
  • 6 - Week 5 Introduction to Machine Learning/52 - Day 5 Model Evaluation and CrossValidation.mp4 132.5 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/98 - Day 3 Long ShortTerm Memory LSTM Networks.mp4 131.0 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/86 - Day 7 Neural Network Project Image Classification on CIFAR10.mp4 130.8 MB
  • 15 - Machine Learning Algorithms and Implementations/139 - 20 Deep QNetworks DQN Implementation in Python.mp4 130.6 MB
  • 18 - Handson Projects on Data Science in Python/218 - 5 Handwritten Digit Recognition with MNIST dataset.mp4 129.5 MB
  • 15 - Machine Learning Algorithms and Implementations/146 - 27 Transformers Implementation in Python.mp4 129.4 MB
  • 2 - Week 1 Python Programming Basics/21 - Day 6 File Handling.mp4 119.0 MB
  • 18 - Handson Projects on Data Science in Python/230 - 17 Simple Personal Assistant using Python speech libraries.mp4 118.3 MB
  • 17 - Complete PyTorch Tutorials/208 - 12 Debugging and Troubleshooting.mp4 118.2 MB
  • 17 - Complete PyTorch Tutorials/201 - 5 Building Simple Neural Networks.mp4 115.6 MB
  • 17 - Complete PyTorch Tutorials/199 - 3 Working with Tensors.mp4 115.4 MB
  • 18 - Handson Projects on Data Science in Python/224 - 11 Stock Price Prediction using historical data w simple Linear Regression.mp4 108.3 MB
  • 15 - Machine Learning Algorithms and Implementations/140 - 21 Policy Gradient Methods Implementation in Python.mp4 107.6 MB
  • 17 - Complete PyTorch Tutorials/197 - 1 Introduction to PyTorch.mp4 107.5 MB
  • 6 - Week 5 Introduction to Machine Learning/53 - Day 6 kNearest Neighbors kNN Algorithm.mp4 106.9 MB
  • 17 - Complete PyTorch Tutorials/203 - 7 Model Evaluation and Validation.mp4 106.9 MB
  • 4 - Week 3 Mathematics for Machine Learning/33 - Day 2 Advanced Linear Algebra Concepts.mp4 104.6 MB
  • 18 - Handson Projects on Data Science in Python/219 - 6 Sentiment Analysis on text data using NLTK.mp4 104.6 MB
  • 5 - Week 4 Probability and Statistics for Machine Learning/44 - Day 5 Types of Hypothesis Tests.mp4 103.7 MB
  • 17 - Complete PyTorch Tutorials/212 - 16 Integration with Other Libraries.mp4 102.7 MB
  • 18 - Handson Projects on Data Science in Python/241 - 28 Disease Prediction eg Heart Disease using ML algorithms.mp4 102.3 MB
  • 18 - Handson Projects on Data Science in Python/214 - 1 Basic Calculator using Python.mp4 101.9 MB
  • 3 - Week 2 Data Science Essentials/25 - Day 2 Advanced NumPy Operations.mp4 100.3 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/89 - Day 2 Convolutional Layers and Filters.mp4 99.4 MB
  • 17 - Complete PyTorch Tutorials/211 - 15 Researchoriented Techniques.mp4 98.0 MB
  • 5 - Week 4 Probability and Statistics for Machine Learning/45 - Day 6 Correlation and Regression Analysis.mp4 97.0 MB
  • 5 - Week 4 Probability and Statistics for Machine Learning/40 - Day 1 Probability Theory and Random Variables.mp4 96.0 MB
  • 2 - Week 1 Python Programming Basics/18 - Day 3 Functions and Modules.mp4 95.9 MB
  • 4 - Week 3 Mathematics for Machine Learning/32 - Day 1 Linear Algebra Fundamentals.mp4 95.7 MB
  • 17 - Complete PyTorch Tutorials/209 - 13 Distributed Training and Performance Optimization.mp4 95.4 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/82 - Day 3 Loss Functions and Backpropagation.mp4 93.4 MB
  • 4 - Week 3 Mathematics for Machine Learning/37 - Day 6 Statistics Fundamentals.mp4 91.0 MB
  • 7 - Week 6 Feature Engineering and Model Evaluation/61 - Day 6 Model Evaluation Techniques.mp4 89.9 MB
  • 18 - Handson Projects on Data Science in Python/236 - 23 Identify Fake News using Naive Bayes.mp4 89.8 MB
  • 8 - Week 7 Advanced Machine Learning Algorithms/64 - Day 1 Introduction to Ensemble Learning.mp4 89.4 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/104 - Day 1 Introduction to Attention Mechanisms.mp4 87.4 MB
  • 3 - Week 2 Data Science Essentials/27 - Day 4 Data Cleaning and Preparation with Pandas.mp4 87.0 MB
  • 18 - Handson Projects on Data Science in Python/240 - 27 Predict Employee Attrition using XGBoost.mp4 84.2 MB
  • 18 - Handson Projects on Data Science in Python/238 - 25 Customer Churn Prediction using classification algorithms.mp4 82.8 MB
  • 18 - Handson Projects on Data Science in Python/231 - 18 Text Summarizer using Gensim.mp4 82.7 MB
  • 4 - Week 3 Mathematics for Machine Learning/34 - Day 3 Calculus for Machine Learning Derivatives.mp4 82.5 MB
  • 18 - Handson Projects on Data Science in Python/239 - 26 Named Entity Recognition NER using spaCy.mp4 82.4 MB
  • 18 - Handson Projects on Data Science in Python/234 - 21 Book Recommendation System using collaborative filtering.mp4 81.4 MB
  • 18 - Handson Projects on Data Science in Python/228 - 15 Credit Card Fraud Detection using Scikitlearn.mp4 80.7 MB
  • 3 - Week 2 Data Science Essentials/28 - Day 5 Data Aggregation and Grouping in Pandas.mp4 80.5 MB
  • 17 - Complete PyTorch Tutorials/202 - 6 Loading and Preprocessing Data.mp4 80.2 MB
  • 15 - Machine Learning Algorithms and Implementations/136 - 17 Autoencoders Implementation in Python.mp4 79.0 MB
  • 18 - Handson Projects on Data Science in Python/237 - 24 Create a Resume Scanner using keyword extraction.mp4 78.8 MB
  • 18 - Handson Projects on Data Science in Python/221 - 8 Predict House Prices with Linear Regression.mp4 76.9 MB
  • 15 - Machine Learning Algorithms and Implementations/121 - 2 Ridge and Lasso Regression Implementation in Python.mp4 76.9 MB
  • 4 - Week 3 Mathematics for Machine Learning/38 - Day 7 MathDriven Mini Project Linear Regression from Scratch.mp4 75.6 MB
  • 18 - Handson Projects on Data Science in Python/242 - 29 Movie Rating Prediction using Collaborative Filtering.mp4 74.1 MB
  • 5 - Week 4 Probability and Statistics for Machine Learning/42 - Day 3 Statistical Inference Estimation and Confidence Intervals.mp4 73.4 MB
  • 18 - Handson Projects on Data Science in Python/232 - 19 Fake Product Review Detection using NLP techniques.mp4 72.2 MB
  • 4 - Week 3 Mathematics for Machine Learning/35 - Day 4 Calculus for Machine Learning Integrals and Optimization.mp4 70.5 MB
  • 17 - Complete PyTorch Tutorials/198 - 2 Getting Started with PyTorch.mp4 67.1 MB
  • 6 - Week 5 Introduction to Machine Learning/49 - Day 2 Introduction to Supervised Learning and Regression Models.mp4 66.0 MB
  • 18 - Handson Projects on Data Science in Python/216 - 3 Simple Chatbot using predefined responses.mp4 65.2 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/99 - Day 4 Gated Recurrent Units GRUs.mp4 60.5 MB
  • 15 - Machine Learning Algorithms and Implementations/127 - 8 Random Forests Implementation in Python.mp4 60.3 MB
  • 17 - Complete PyTorch Tutorials/200 - 4 Autograd and Dynamic Computation Graphs.mp4 59.5 MB
  • 15 - Machine Learning Algorithms and Implementations/124 - 5 KNearest Neighbors KNN Implementation in Python.mp4 58.5 MB
  • 18 - Handson Projects on Data Science in Python/222 - 9 Weather Forecasting using historical data.mp4 58.3 MB
  • 15 - Machine Learning Algorithms and Implementations/128 - 9 Gradient Boosting Implementation in Python.mp4 57.1 MB
  • 18 - Handson Projects on Data Science in Python/229 - 16 Iris Flower Classification using decision trees.mp4 56.9 MB
  • 15 - Machine Learning Algorithms and Implementations/143 - 24 Convolutional Neural Networks CNNs Implementation in Python.mp4 56.1 MB
  • 15 - Machine Learning Algorithms and Implementations/122 - 3 Polynomial Regression Implementation in Python.mp4 55.4 MB
  • 18 - Handson Projects on Data Science in Python/217 - 4 Spam Email Detector using Scikitlearn.mp4 55.0 MB
  • 15 - Machine Learning Algorithms and Implementations/138 - 19 QLearning Implementation in Python.mp4 53.7 MB
  • 15 - Machine Learning Algorithms and Implementations/123 - 4 Logistic Regression Implementation in Python.mp4 52.7 MB
  • 18 - Handson Projects on Data Science in Python/233 - 20 Detect Emotion in Text using Natural Language Toolkit NLTK.mp4 52.6 MB
  • 18 - Handson Projects on Data Science in Python/220 - 7 Movie Recommendation System using cosine similarity.mp4 52.5 MB
  • 17 - Complete PyTorch Tutorials/213 - 17 Contributing to PyTorch and Community Engagement.mp4 50.4 MB
  • 15 - Machine Learning Algorithms and Implementations/126 - 7 Decision Trees Implementation in Python.mp4 48.9 MB
  • 17 - Complete PyTorch Tutorials/210 - 14 Custom Layers and Loss Functions.mp4 48.1 MB
  • 5 - Week 4 Probability and Statistics for Machine Learning/43 - Day 4 Hypothesis Testing and PValues.mp4 47.7 MB
  • 15 - Machine Learning Algorithms and Implementations/145 - 26 Long ShortTerm Memory LSTM Implementation in Python.mp4 47.5 MB
  • 17 - Complete PyTorch Tutorials/207 - 11 Model Deployment and Production.mp4 44.4 MB
  • 18 - Handson Projects on Data Science in Python/227 - 14 TicTacToe AI using Minimax Algorithm.mp4 43.7 MB
  • 17 - Complete PyTorch Tutorials/206 - 10 Handling Complex Data.mp4 43.4 MB
  • 15 - Machine Learning Algorithms and Implementations/144 - 25 Recurrent Neural Networks RNNs Implementation in Python.mp4 43.1 MB
  • 15 - Machine Learning Algorithms and Implementations/137 - 18 SelfTraining Implementation in Python.mp4 42.9 MB
  • 17 - Complete PyTorch Tutorials/205 - 9 Transfer Learning and FineTuning.mp4 41.9 MB
  • 16 - Complete TensorFlow Tutorials/149 - 3 TensorFlow vs Other Machine Learning frameworks.mp4 39.6 MB
  • 15 - Machine Learning Algorithms and Implementations/135 - 16 tDistributed Stochastic Neighbor Embedding tSNE Implementation in Python.mp4 38.8 MB
  • 18 - Handson Projects on Data Science in Python/235 - 22 Predict Car Prices using Random Forest.mp4 37.7 MB
  • 15 - Machine Learning Algorithms and Implementations/131 - 12 Hierarchical Clustering Implementation in Python.mp4 36.0 MB
  • 16 - Complete TensorFlow Tutorials/150 - 4 Installing TensorFlow.mp4 35.3 MB
  • 15 - Machine Learning Algorithms and Implementations/125 - 6 Support Vector Machines SVM Implementation in Python.mp4 30.8 MB
  • 16 - Complete TensorFlow Tutorials/152 - 6 Verifying the Installation.mp4 29.9 MB
  • 1 - Data Science Modules Introduction and Brief Overview/13 - Mod 12 Communication and Storytelling Turning Data into Impactful Narratives.mp4 28.6 MB
  • 15 - Machine Learning Algorithms and Implementations/120 - 1 Linear Regression Implementation in Python.mp4 28.2 MB
  • 1 - Data Science Modules Introduction and Brief Overview/11 - Module 10 Data Ethics and Governance Responsible AI and Data Practices.mp4 28.2 MB
  • 1 - Data Science Modules Introduction and Brief Overview/12 - Module 11 Business Understanding and Domain Expertise.mp4 27.1 MB
  • 16 - Complete TensorFlow Tutorials/148 - 2 Introduction to TensorFlow.mp4 26.7 MB
  • 16 - Complete TensorFlow Tutorials/147 - 1 What is Machine Learning in the context of TensorFlow.mp4 25.8 MB
  • 1 - Data Science Modules Introduction and Brief Overview/7 - Module 6 Machine Learning and Modeling Building Intelligent Systems.mp4 25.5 MB
  • 1 - Data Science Modules Introduction and Brief Overview/2 - Module 1 Data Collection The Foundation of Data Science.mp4 25.3 MB
  • 16 - Complete TensorFlow Tutorials/184 - 38 Building a Sentiment Analysis Model.mp4 25.1 MB
  • 1 - Data Science Modules Introduction and Brief Overview/8 - Module 7 Model Evaluation and Validation Ensuring Reliable Predictions.mp4 24.6 MB
  • 1 - Data Science Modules Introduction and Brief Overview/10 - Module 9 Big Data Technologies Managing and Analyzing Massive Datasets.mp4 23.3 MB
  • 16 - Complete TensorFlow Tutorials/159 - 13 Building a Simple Feedforward Neural Network.mp4 23.0 MB
  • 16 - Complete TensorFlow Tutorials/151 - 5 Setting up your Development Environment.mp4 22.9 MB
  • 15 - Machine Learning Algorithms and Implementations/129 - 10 Naive Bayes Implementation in Python.mp4 22.3 MB
  • 15 - Machine Learning Algorithms and Implementations/142 - 23 Isolation Forest Implementation in Python.mp4 20.5 MB
  • 1 - Data Science Modules Introduction and Brief Overview/9 - Module 8 Model Deployment Bringing Machine Learning Models to Life.mp4 19.8 MB
  • 16 - Complete TensorFlow Tutorials/187 - 41 Implementing a Chatbot.mp4 19.8 MB
  • 1 - Data Science Modules Introduction and Brief Overview/6 - Module 5 Data Visualization Communicating Insights Effectively.mp4 19.5 MB
  • 1 - Data Science Modules Introduction and Brief Overview/5 - Module 4 Feature Engineering Transforming Data into Insights.mp4 19.2 MB
  • 1 - Data Science Modules Introduction and Brief Overview/3 - Mod 2 Data Cleaning and Preprocessing Turning Raw Data into Usable Insights.mp4 19.1 MB
  • 1 - Data Science Modules Introduction and Brief Overview/4 - Module 3 Data Exploration and Analysis EDA.mp4 18.9 MB
  • 15 - Machine Learning Algorithms and Implementations/141 - 22 OneClass SVM Implementation in Python.mp4 18.6 MB
  • 15 - Machine Learning Algorithms and Implementations/133 - 14 Gaussian Mixture ModelsGMM Implementation in Python.mp4 17.9 MB
  • 15 - Machine Learning Algorithms and Implementations/134 - 15 Principal Component Analysis PCA Implementation in Python.mp4 17.6 MB
  • 15 - Machine Learning Algorithms and Implementations/132 - 13 DBSCAN DensityBased Spatial Clustering of Applications w Noise.mp4 16.7 MB
  • 16 - Complete TensorFlow Tutorials/166 - 20 Building and Training CNNs with TensorFlow.mp4 16.6 MB
  • 16 - Complete TensorFlow Tutorials/182 - 36 Recommender Systems.mp4 16.3 MB
  • 16 - Complete TensorFlow Tutorials/185 - 39 Creating an Image Recognition System.mp4 16.0 MB
  • 16 - Complete TensorFlow Tutorials/161 - 15 Loss Functions and Optimizers.mp4 15.3 MB
  • 15 - Machine Learning Algorithms and Implementations/130 - 11 KMeans Clustering Implementation in Python.mp4 14.5 MB
  • 16 - Complete TensorFlow Tutorials/180 - 34 Image Classification.mp4 14.4 MB
  • 16 - Complete TensorFlow Tutorials/175 - 29 TensorFlows Distributed Execution Framework.mp4 14.4 MB
  • 16 - Complete TensorFlow Tutorials/181 - 35 Natural Language Processing.mp4 14.3 MB
  • 16 - Complete TensorFlow Tutorials/176 - 30 Scaling TensorFlow with TensorFlow Serving and Kubernetes.mp4 14.2 MB
  • 16 - Complete TensorFlow Tutorials/179 - 33 Model Validation Transform and Serving with TFX.mp4 14.1 MB
  • 16 - Complete TensorFlow Tutorials/174 - 28 Introduction to Distributed Computing with TensorFlow.mp4 13.5 MB
  • 16 - Complete TensorFlow Tutorials/183 - 37 Object Detection.mp4 13.1 MB
  • 16 - Complete TensorFlow Tutorials/173 - 27 TensorFlow Lite for Mobile and Embedded Devices.mp4 13.0 MB
  • 16 - Complete TensorFlow Tutorials/164 - 18 Training and Evaluating Models.mp4 13.0 MB
  • 16 - Complete TensorFlow Tutorials/162 - 16 Introduction to Keras API.mp4 12.9 MB
  • 16 - Complete TensorFlow Tutorials/190 - 44 Quantum Machine Learning with TensorFlow Quantum.mp4 12.5 MB
  • 16 - Complete TensorFlow Tutorials/177 - 31 Introduction to TFX.mp4 12.2 MB
  • 16 - Complete TensorFlow Tutorials/167 - 21 Transfer Learning with Pretrained CNNs.mp4 11.7 MB
  • 16 - Complete TensorFlow Tutorials/163 - 17 Building Complex Models with Keras.mp4 11.5 MB
  • 16 - Complete TensorFlow Tutorials/186 - 40 Developing a Time Series Prediction Model.mp4 11.5 MB
  • 16 - Complete TensorFlow Tutorials/168 - 22 Introduction to RNNs.mp4 11.2 MB
  • 16 - Complete TensorFlow Tutorials/172 - 26 TensorFlow Serving for Model Deployment.mp4 11.1 MB
  • 16 - Complete TensorFlow Tutorials/189 - 43 Reinforcement Learning with TensorFlow.mp4 10.7 MB
  • 16 - Complete TensorFlow Tutorials/193 - 47 TensorFlow Community and Forums.mp4 10.7 MB
  • 16 - Complete TensorFlow Tutorials/165 - 19 Introduction to CNNs.mp4 10.5 MB
  • 16 - Complete TensorFlow Tutorials/158 - 12 Managing Graphs and Sessions.mp4 10.4 MB
  • 16 - Complete TensorFlow Tutorials/188 - 42 Generative Adversarial Networks GANs.mp4 10.4 MB
  • 16 - Complete TensorFlow Tutorials/156 - 10 TensorFlow Computational Graph.mp4 10.2 MB
  • 16 - Complete TensorFlow Tutorials/171 - 25 Saving and Loading Models.mp4 10.2 MB
  • 16 - Complete TensorFlow Tutorials/194 - 48 Summary of Key Concepts.mp4 10.2 MB
  • 16 - Complete TensorFlow Tutorials/160 - 14 Activation Functions.mp4 9.9 MB
  • 16 - Complete TensorFlow Tutorials/155 - 9 Constants Variables and Placeholders.mp4 9.7 MB
  • 16 - Complete TensorFlow Tutorials/178 - 32 Building EndtoEnd ML Pipelines with TFX.mp4 9.5 MB
  • 16 - Complete TensorFlow Tutorials/191 - 45 TensorFlow Documentation and Tutorials.mp4 9.3 MB
  • 16 - Complete TensorFlow Tutorials/154 - 8 Tensor Operations.mp4 8.9 MB
  • 16 - Complete TensorFlow Tutorials/195 - 49 Next Steps in Your TensorFlow Journey.mp4 8.7 MB
  • 16 - Complete TensorFlow Tutorials/169 - 23 Building and Training RNNs with TensorFlow.mp4 8.2 MB
  • 17 - Complete PyTorch Tutorials/196 - 0 What will we cover.mp4 7.7 MB
  • 16 - Complete TensorFlow Tutorials/170 - 24 Applications of RNNs Language Modeling Time Series Prediction.mp4 7.7 MB
  • 1 - Data Science Modules Introduction and Brief Overview/1 - What Will We Cover.mp4 7.3 MB
  • 15 - Machine Learning Algorithms and Implementations/119 - Introduction to Machine Learning Algorithms.mp4 7.3 MB
  • 16 - Complete TensorFlow Tutorials/192 - 46 Online Courses and Books.mp4 7.2 MB
  • 16 - Complete TensorFlow Tutorials/157 - 11 Creating and Running a TensorFlow Session.mp4 6.2 MB
  • 16 - Complete TensorFlow Tutorials/153 - 7 Introduction to Tensors.mp4 4.9 MB
  • 1 - Data Science Modules Introduction and Brief Overview/14 - Whats Next Bootcamp Deep Dive.mp4 2.6 MB
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