Udemy Data Science and AI Masters 2025 From Python To Gen AI

磁力链接/BT种子名称

Udemy Data Science and AI Masters 2025 From Python To Gen AI

磁力链接/BT种子简介

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最近下载：2025-09-03

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文件列表

  • Chapter 13-Data Engineering Basics/441 Sustainability Chatbot (GROK AI).mp4 146.5 MB
  • Chapter 13-Data Engineering Basics/436 Automated AI Claims Processing using Gen AI.mp4 146.5 MB
  • Chapter 13-Data Engineering Basics/434 ChatScholar (EdTech Project).mp4 143.6 MB
  • Chapter 6-Machine Learning/162 Regression Lasso & Ridge Regression (Practicals).mp4 139.3 MB
  • Chapter 5-SQL for Data Science/128 Data Import Export.mp4 122.4 MB
  • Chapter 4-Exploratory Data Analysis/106 Analysis Practicals.mp4 116.5 MB
  • Chapter 13-Data Engineering Basics/435 Research RAG Chatbot.mp4 112.0 MB
  • Chapter 6-Machine Learning/187 Classification Project.mp4 111.5 MB
  • Chapter 13-Data Engineering Basics/437 Multi PDF RAG Chatbot built on Web Scraped Data.mp4 110.3 MB
  • Chapter 2-Python for Data Science/21 NumPy.mp4 109.9 MB
  • Chapter 6-Machine Learning/212 Feature Engineering Principal Component Analysis.mp4 109.9 MB
  • Chapter 2-Python for Data Science/22 Pandas.mp4 108.3 MB
  • Chapter 10-Transformers and Generative AI/396 RAGs Practical Use Cases.mp4 107.5 MB
  • Chapter 9-Natural Language Processing/354 Neural Networks LSTMs Part 8 (Practicals 1).mp4 106.6 MB
  • Chapter 6-Machine Learning/151 Regression Regression Metrics.mp4 104.7 MB
  • Chapter 6-Machine Learning/191 Ensemble Bagging (Practicals 1).mp4 99.5 MB
  • Chapter 10-Transformers and Generative AI/405 Vector Database (Practicals).mp4 98.3 MB
  • Chapter 10-Transformers and Generative AI/365 Introduction to Transformers.mp4 97.2 MB
  • Chapter 2-Python for Data Science/17 Map Reduce Filter.mp4 96.9 MB
  • Chapter 11-Generative AI (Advanced)/422 AWS Deployment (Breast Cancer Prediction).mp4 92.9 MB
  • Chapter 5-SQL for Data Science/126 Table Basics - DMLs.mp4 91.3 MB
  • Chapter 2-Python for Data Science/11 Lists.mp4 89.9 MB
  • Chapter 6-Machine Learning/184 Classification Practicals so far.mp4 89.8 MB
  • Chapter 10-Transformers and Generative AI/366 Self Attention.mp4 88.5 MB
  • Chapter 9-Natural Language Processing/362 Neural Networks Bi-Directional LSTMs.mp4 88.2 MB
  • Chapter 2-Python for Data Science/24 Matplotlib.mp4 86.4 MB
  • Chapter 10-Transformers and Generative AI/409 Model Testing Ollama.mp4 86.3 MB
  • Chapter 6-Machine Learning/158 Regression Polynomial Regression (Practicals).mp4 86.1 MB
  • Chapter 10-Transformers and Generative AI/413 Model Overview LLM APIs.mp4 86.0 MB
  • Chapter 6-Machine Learning/155 Regression Linear Regression (Practicals).mp4 85.3 MB
  • Chapter 9-Natural Language Processing/358 Neural Networks GRU Part 2.mp4 84.8 MB
  • Chapter 10-Transformers and Generative AI/412 RAG Systems (Practicals) Ollama.mp4 84.6 MB
  • Chapter 5-SQL for Data Science/127 Joins.mp4 84.5 MB
  • Chapter 5-SQL for Data Science/135 Stored Procedures.mp4 83.3 MB
  • Chapter 2-Python for Data Science/12 Tuples.mp4 81.6 MB
  • Chapter 13-Data Engineering Basics/440 AI Career Coach Part 3.mp4 81.6 MB
  • Chapter 6-Machine Learning/199 Ensemble Project.mp4 81.3 MB
  • Chapter 6-Machine Learning/188 Ensemble Introduction to Ensemble Learning.mp4 80.5 MB
  • Chapter 2-Python for Data Science/16 Functions.mp4 77.4 MB
  • Chapter 8-Deep Learning and Neural Networks/313 Pre-Trained Models (Practicals).mp4 77.1 MB
  • Chapter 6-Machine Learning/202 Clustering kMeans Clustering (Practicals).mp4 76.8 MB
  • Chapter 6-Machine Learning/208 Feature Engineering RFE (Practicals).mp4 76.8 MB
  • Chapter 2-Python for Data Science/9 Variables & Keywords.mp4 76.6 MB
  • Chapter 10-Transformers and Generative AI/364 Transformer Types.mp4 76.0 MB
  • Chapter 5-SQL for Data Science/124 Table Basics - DDLs.mp4 75.6 MB
  • Chapter 8-Deep Learning and Neural Networks/312 Pre-Trained Models.mp4 74.9 MB
  • Chapter 6-Machine Learning/209 Feature Engineering Successive Feature Selection.mp4 74.8 MB
  • Chapter 9-Natural Language Processing/342 Word Embeddings Word2Vec CBOW.mp4 74.5 MB
  • Chapter 2-Python for Data Science/18 File Handling.mp4 74.4 MB
  • Chapter 2-Python for Data Science/15 Loops & Iterations.mp4 74.2 MB
  • Chapter 11-Generative AI (Advanced)/420 Flask App (Breast Cancer Prediction).mp4 74.2 MB
  • Chapter 2-Python for Data Science/25 Seaborn.mp4 73.8 MB
  • Chapter 6-Machine Learning/221 Hyper Parameter Optimization Manual HPO (Practicals).mp4 73.7 MB
  • Chapter 5-SQL for Data Science/136 Windows Function.mp4 73.7 MB
  • Chapter 10-Transformers and Generative AI/391 RAGs What and Why.mp4 73.4 MB
  • Chapter 10-Transformers and Generative AI/394 RAGs Architecture Explanation.mp4 73.4 MB
  • Chapter 6-Machine Learning/183 Classification Logistic Regression.mp4 73.2 MB
  • Chapter 9-Natural Language Processing/332 NLP Basics Bag of Words (Practicals).mp4 73.2 MB
  • Chapter 2-Python for Data Science/10 Datatypes Operators.mp4 72.5 MB
  • Chapter 9-Natural Language Processing/352 Neural Networks LSTMs Part 6 (inpute gate).mp4 72.2 MB
  • Chapter 10-Transformers and Generative AI/408 Getting Started Ollama.mp4 72.2 MB
  • Chapter 9-Natural Language Processing/334 NLP Basics TF-IDF (Practicals).mp4 71.3 MB
  • Chapter 8-Deep Learning and Neural Networks/304 Convolutional Neural Networks Practicals.mp4 71.2 MB
  • Chapter 6-Machine Learning/198 Ensemble Xtreme Gradient Boosting (XGB).mp4 71.0 MB
  • Chapter 10-Transformers and Generative AI/387 LLM Basics Prompt Engineering.mp4 70.9 MB
  • Chapter 9-Natural Language Processing/346 Word Embeddings Cosine Similarity.mp4 70.7 MB
  • Chapter 6-Machine Learning/222 Hyper Parameter Optimization RandomizedSearchCV (Practicals).mp4 70.5 MB
  • Chapter 6-Machine Learning/140 Types of ML.mp4 70.4 MB
  • Chapter 6-Machine Learning/194 Ensemble Ada Boost.mp4 70.2 MB
  • Chapter 6-Machine Learning/177 Classification Decision Tree (Visualizing).mp4 70.2 MB
  • Chapter 6-Machine Learning/144 Pre-Requisites Train-Test Split.mp4 70.0 MB
  • Chapter 9-Natural Language Processing/344 Word Embeddings GloVe.mp4 69.7 MB
  • Chapter 6-Machine Learning/152 Regression Regression Metrics (Practicals).mp4 69.5 MB
  • Chapter 2-Python for Data Science/20 OOPs.mp4 69.4 MB
  • Chapter 6-Machine Learning/201 Clustering kMeans Clustering.mp4 69.1 MB
  • Chapter 6-Machine Learning/192 Ensemble Bagging (Practicals 2).mp4 68.9 MB
  • Chapter 8-Deep Learning and Neural Networks/306 Convolutional Neural Networks Project (X-Ray detection).mp4 68.8 MB
  • Chapter 10-Transformers and Generative AI/407 Model Overview Ollama.mp4 68.3 MB
  • Chapter 2-Python for Data Science/14 Dictionary.mp4 68.0 MB
  • Chapter 2-Python for Data Science/5 Let s install Python together.mp4 67.9 MB
  • Chapter 5-SQL for Data Science/137 SQL Python connectivity.mp4 67.7 MB
  • Chapter 8-Deep Learning and Neural Networks/301 Convolutional Neural Networks Architecture Explained.mp4 66.8 MB
  • Chapter 5-SQL for Data Science/125 Table Basics - DQLs.mp4 66.1 MB
  • Chapter 9-Natural Language Processing/355 Neural Networks LSTMs Part 9 (Practicals 2).mp4 66.1 MB
  • Chapter 9-Natural Language Processing/347 Neural Networks LSTMs Part 1.mp4 65.9 MB
  • Chapter 6-Machine Learning/175 Classification Decision Tree (gini based).mp4 65.8 MB
  • Chapter 5-SQL for Data Science/130 String functions.mp4 64.6 MB
  • Chapter 10-Transformers and Generative AI/392 RAGs Use Cases.mp4 64.5 MB
  • Chapter 6-Machine Learning/200 Clustering Introduction to Clustering.mp4 64.5 MB
  • Chapter 9-Natural Language Processing/348 Neural Networks LSTMs Part 2 (Architecture).mp4 62.8 MB
  • Chapter 5-SQL for Data Science/123 Constraints in SQL.mp4 62.6 MB
  • Chapter 3-Business Statistics/73 Correlation.mp4 61.6 MB
  • Chapter 11-Generative AI (Advanced)/419 Model Building.mp4 61.4 MB
  • Chapter 4-Exploratory Data Analysis/111 Feature Encoding (Practicals).mp4 61.3 MB
  • Chapter 6-Machine Learning/203 Clustering Hierarchical Clustering.mp4 60.9 MB
  • Chapter 8-Deep Learning and Neural Networks/294 Backpropagation & Forward Pass.mp4 60.5 MB
  • Chapter 8-Deep Learning and Neural Networks/297 Artificial Neural Networks Practicals.mp4 59.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/282 Project 3 - Demand Forecasting Part 5.mp4 58.7 MB
  • Chapter 8-Deep Learning and Neural Networks/317 Project Pneumonia Detection from X-Ray Images.mp4 58.4 MB
  • Chapter 6-Machine Learning/181 Classification SVM Classifier Part 1.mp4 58.2 MB
  • Chapter 14-Generative AI Projects/444 ML Interview 2.mp4 58.0 MB
  • Chapter 6-Machine Learning/180 Classification Naive Bayes Classifier.mp4 57.7 MB
  • Chapter 5-SQL for Data Science/133 Nested Queries.mp4 57.6 MB
  • Chapter 8-Deep Learning and Neural Networks/302 Convolutional Neural Networks Image Augmentation.mp4 56.5 MB
  • Chapter 6-Machine Learning/171 Classification Practicals Part 1.mp4 55.9 MB
  • Chapter 10-Transformers and Generative AI/406 LSH.mp4 55.8 MB
  • Chapter 10-Transformers and Generative AI/378 AlBERT.mp4 55.2 MB
  • Chapter 6-Machine Learning/174 Classification Decision Tree (Entropy based).mp4 55.1 MB
  • Chapter 4-Exploratory Data Analysis/113 Data Exploration.mp4 55.0 MB
  • Chapter 9-Natural Language Processing/324 NLP Basics SCR.mp4 55.0 MB
  • Chapter 6-Machine Learning/172 Classification kNN Classifier (Practicals).mp4 55.0 MB
  • Chapter 7-Time Series Analysis and Forecasting/253 Models - ARIMA (Practicals Part 1).mp4 54.7 MB
  • Chapter 6-Machine Learning/204 Clustering Hierarchical Clustering (Practicals).mp4 54.2 MB
  • Chapter 7-Time Series Analysis and Forecasting/277 Project 2 - Stock Market Prediction Part 3.mp4 53.2 MB
  • Chapter 7-Time Series Analysis and Forecasting/243 Feature Scaling (Practicals).mp4 53.2 MB
  • Chapter 4-Exploratory Data Analysis/96 Feature Scaling (Practicals).mp4 53.2 MB
  • Chapter 10-Transformers and Generative AI/399 Types of Prompting.mp4 53.0 MB
  • Chapter 10-Transformers and Generative AI/377 DistilBERT.mp4 52.9 MB
  • Chapter 7-Time Series Analysis and Forecasting/239 3-Sigma Technique.mp4 52.5 MB
  • Chapter 4-Exploratory Data Analysis/98 Outlier Treatment (Practicals).mp4 52.5 MB
  • Chapter 13-Data Engineering Basics/438 AI Career Coach Part 1.mp4 52.4 MB
  • Chapter 5-SQL for Data Science/131 Date Time Functions.mp4 52.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/279 Project 3 - Demand Forecasting Part 2.mp4 52.2 MB
  • Chapter 7-Time Series Analysis and Forecasting/266 Models - Facebook Prophet (Uni vs Multi).mp4 52.2 MB
  • Chapter 8-Deep Learning and Neural Networks/290 Activation Function Linear Function.mp4 52.1 MB
  • Chapter 10-Transformers and Generative AI/370 Introduction to BERT.mp4 52.0 MB
  • Chapter 6-Machine Learning/206 Feature Engineering Introduction.mp4 51.7 MB
  • Chapter 10-Transformers and Generative AI/389 LLM Basics Prompt Structures.mp4 51.7 MB
  • Chapter 6-Machine Learning/190 Ensemble Bagging vs Random Forest.mp4 51.5 MB
  • Chapter 9-Natural Language Processing/356 Neural Networks LSTMs Part 10 (Practicals 3).mp4 51.4 MB
  • Chapter 6-Machine Learning/156 Regression Multiple Linear Regression (Practicals).mp4 51.3 MB
  • Chapter 15-Interview Prep (New Section)/451 ML Interview 9.mp4 51.2 MB
  • Chapter 10-Transformers and Generative AI/411 RAG Systems Ollama.mp4 51.0 MB
  • Chapter 6-Machine Learning/165 Classification Log Loss.mp4 50.5 MB
  • Chapter 6-Machine Learning/182 Classification SVM Classifier Part 2.mp4 50.3 MB
  • Chapter 6-Machine Learning/166 Classification Confusion Matrix.mp4 50.2 MB
  • Chapter 10-Transformers and Generative AI/402 Vector Databases.mp4 50.1 MB
  • Chapter 4-Exploratory Data Analysis/112 Case Study.mp4 50.0 MB
  • Chapter 7-Time Series Analysis and Forecasting/254 Models - ARIMA (Practicals Part 2).mp4 49.5 MB
  • Chapter 15-Interview Prep (New Section)/455 DL Interview 3.mp4 49.5 MB
  • Chapter 3-Business Statistics/62 Binomial Distribution.mp4 49.4 MB
  • Chapter 10-Transformers and Generative AI/395 RAGs Detailed Architecture Walkthrough.mp4 49.4 MB
  • Chapter 9-Natural Language Processing/336 NLP Basics NER (Practicals).mp4 49.2 MB
  • Chapter 2-Python for Data Science/13 Sets.mp4 49.1 MB
  • Chapter 5-SQL for Data Science/134 Views.mp4 49.0 MB
  • Chapter 9-Natural Language Processing/335 NLP Basics Part of Speech Tagging and Named Entity Recognition.mp4 49.0 MB
  • Chapter 6-Machine Learning/189 Ensemble Bagging.mp4 48.9 MB
  • Chapter 8-Deep Learning and Neural Networks/298 Artificial Neural Networks Hyper Parameter Optimization.mp4 48.7 MB
  • Chapter 11-Generative AI (Advanced)/418 Flask Basic App.mp4 48.6 MB
  • Chapter 9-Natural Language Processing/351 Neural Networks LSTMs Part 5 (forget gate).mp4 48.5 MB
  • Chapter 11-Generative AI (Advanced)/417 Introduction to Flask.mp4 48.4 MB
  • Chapter 6-Machine Learning/148 Pre-Requisites Feature Encoding.mp4 48.0 MB
  • Chapter 7-Time Series Analysis and Forecasting/244 Feature Encoding.mp4 47.9 MB
  • Chapter 4-Exploratory Data Analysis/110 Feature Encoding (Theory).mp4 47.9 MB
  • Chapter 6-Machine Learning/160 Regression Ridge Regression.mp4 47.7 MB
  • Chapter 8-Deep Learning and Neural Networks/300 Convolutional Neural Networks Steps in CNN.mp4 47.4 MB
  • Chapter 9-Natural Language Processing/333 NLP Basics TF-IDF.mp4 47.3 MB
  • Chapter 9-Natural Language Processing/361 Neural Networks GRU Part 5 (Practicals).mp4 46.4 MB
  • Chapter 5-SQL for Data Science/129 Aggregation Functions.mp4 46.3 MB
  • Chapter 10-Transformers and Generative AI/415 RAG Systems with xAI (Practicals) LLM APIs.mp4 46.1 MB
  • Chapter 9-Natural Language Processing/345 Word Embeddings FastText.mp4 46.1 MB
  • Chapter 15-Interview Prep (New Section)/472 Gen AI Interview 10.mp4 45.6 MB
  • Chapter 15-Interview Prep (New Section)/481 Gen AI Interview 10.mp4 45.6 MB
  • Chapter 10-Transformers and Generative AI/381 GPT Masked Multi Head Attention.mp4 45.5 MB
  • Chapter 6-Machine Learning/153 Regression Simple Linear Regression.mp4 45.5 MB
  • Chapter 14-Generative AI Projects/443 ML Interview 1.mp4 45.2 MB
  • Chapter 7-Time Series Analysis and Forecasting/237 Handle Missing Value (Practicals).mp4 45.1 MB
  • Chapter 13-Data Engineering Basics/439 AI Career Coach Part 2.mp4 45.1 MB
  • Chapter 4-Exploratory Data Analysis/92 Handle Missing Values (Practicals).mp4 45.0 MB
  • Chapter 6-Machine Learning/143 Pre-Requisites Features.mp4 45.0 MB
  • Chapter 3-Business Statistics/72 Covariance.mp4 44.7 MB
  • Chapter 15-Interview Prep (New Section)/453 DL Interview 1.mp4 44.4 MB
  • Chapter 6-Machine Learning/205 Clustering Mean Shift Clustering.mp4 44.0 MB
  • Chapter 15-Interview Prep (New Section)/465 Gen AI Interview 3.mp4 43.9 MB
  • Chapter 15-Interview Prep (New Section)/474 Gen AI Interview 3.mp4 43.9 MB
  • Chapter 6-Machine Learning/186 Classification Issues in Classification (Part 2).mp4 43.5 MB
  • Chapter 8-Deep Learning and Neural Networks/311 Recurrent Neural Networks LSTMs (Practicals).mp4 43.3 MB
  • Chapter 6-Machine Learning/220 Hyper Parameter Optimization GridSearch vs RandomizedSearch.mp4 43.1 MB
  • Chapter 4-Exploratory Data Analysis/116 Bivariate Analysis Part 1.mp4 42.8 MB
  • Chapter 10-Transformers and Generative AI/398 Introduction to Prompt Engineering.mp4 42.7 MB
  • Chapter 7-Time Series Analysis and Forecasting/263 Models - Facebook Prophet (Part 2).mp4 42.7 MB
  • Chapter 6-Machine Learning/154 Regression Multiple Linear Regression.mp4 42.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/261 Models - Final Model Building.mp4 42.6 MB
  • Chapter 6-Machine Learning/145 Pre-Requisites Feature Scaling.mp4 42.6 MB
  • Chapter 4-Exploratory Data Analysis/93 Feature Scaling (Theory).mp4 42.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/240 Feature Scaling.mp4 42.6 MB
  • Chapter 9-Natural Language Processing/343 Word Embeddings Word2Vec Skip Grams.mp4 42.6 MB
  • Chapter 6-Machine Learning/169 Classification kNN Classifier.mp4 42.5 MB
  • Chapter 10-Transformers and Generative AI/385 LLM Basics Context Window.mp4 42.3 MB
  • Chapter 10-Transformers and Generative AI/386 LLM Basics Prompt.mp4 42.0 MB
  • Chapter 15-Interview Prep (New Section)/470 Gen AI Interview 8.mp4 41.8 MB
  • Chapter 15-Interview Prep (New Section)/479 Gen AI Interview 8.mp4 41.8 MB
  • Chapter 4-Exploratory Data Analysis/109 Feature Binning (Practicals).mp4 41.7 MB
  • Chapter 7-Time Series Analysis and Forecasting/245 Feature Encoding (Practicals).mp4 41.5 MB
  • Chapter 6-Machine Learning/149 Pre-Requisites Feature Encoding (Practicals).mp4 41.5 MB
  • Chapter 7-Time Series Analysis and Forecasting/225 Time Series vs Regression.mp4 41.4 MB
  • Chapter 10-Transformers and Generative AI/404 How Vector Databases works.mp4 41.3 MB
  • Chapter 15-Interview Prep (New Section)/459 DL Interview 7.mp4 41.0 MB
  • Chapter 4-Exploratory Data Analysis/115 Univariate Analysis.mp4 40.8 MB
  • Chapter 3-Business Statistics/64 Normal Distribution Part 1.mp4 40.8 MB
  • Chapter 14-Generative AI Projects/448 ML Interview 6.mp4 40.6 MB
  • Chapter 15-Interview Prep (New Section)/471 Gen AI Interview 9.mp4 40.6 MB
  • Chapter 15-Interview Prep (New Section)/480 Gen AI Interview 9.mp4 40.6 MB
  • Chapter 10-Transformers and Generative AI/397 LangChain.mp4 40.6 MB
  • Chapter 6-Machine Learning/213 Feature Engineering Principal Component Analysis (Practicals).mp4 40.3 MB
  • Chapter 6-Machine Learning/170 Classification kNN Classifier Example.mp4 39.8 MB
  • Chapter 7-Time Series Analysis and Forecasting/258 Models - Best Transformation.mp4 39.7 MB
  • Chapter 15-Interview Prep (New Section)/458 DL Interview 6.mp4 39.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/251 Models - ACFPACF Plots.mp4 39.4 MB
  • Chapter 14-Generative AI Projects/445 ML Interview 3.mp4 39.3 MB
  • Chapter 6-Machine Learning/196 Ensemble CF vs LF.mp4 39.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/280 Project 3 - Demand Forecasting Part 3.mp4 39.0 MB
  • Chapter 7-Time Series Analysis and Forecasting/255 Models - ARIMA (Final).mp4 39.0 MB
  • Chapter 14-Generative AI Projects/446 ML Interview 4.mp4 38.9 MB
  • Chapter 6-Machine Learning/218 Hyper Parameter Optimization Basics.mp4 38.9 MB
  • Chapter 9-Natural Language Processing/325 NLP Basics Handling Contractions.mp4 38.7 MB
  • Chapter 15-Interview Prep (New Section)/468 Gen AI Interview 6.mp4 38.5 MB
  • Chapter 15-Interview Prep (New Section)/477 Gen AI Interview 6.mp4 38.5 MB
  • Chapter 14-Generative AI Projects/450 ML Interview 8.mp4 38.5 MB
  • Chapter 3-Business Statistics/50 Variance Standard Deviation.mp4 38.3 MB
  • Chapter 9-Natural Language Processing/341 Word Embeddings Word2Vec - Check X Features.mp4 38.2 MB
  • Chapter 15-Interview Prep (New Section)/452 ML Interview 10.mp4 38.1 MB
  • Chapter 8-Deep Learning and Neural Networks/314 Pre-Trained Models VGG16.mp4 37.9 MB
  • Chapter 15-Interview Prep (New Section)/460 DL Interview 8.mp4 37.9 MB
  • Chapter 9-Natural Language Processing/331 NLP Basics Bag of Words.mp4 37.8 MB
  • Chapter 5-SQL for Data Science/122 Introduction to SQL.mp4 37.7 MB
  • Chapter 9-Natural Language Processing/360 Neural Networks GRU Part 4 (update gate).mp4 37.7 MB
  • Chapter 11-Generative AI (Advanced)/421 AWS.mp4 37.7 MB
  • Chapter 6-Machine Learning/214 Feature Engineering Linear Discriminant Analysis.mp4 37.7 MB
  • Chapter 7-Time Series Analysis and Forecasting/250 Models - MA Theory.mp4 37.3 MB
  • Chapter 2-Python for Data Science/19 Control Structures.mp4 37.2 MB
  • Chapter 10-Transformers and Generative AI/383 GPT Training.mp4 37.1 MB
  • Chapter 9-Natural Language Processing/353 Neural Networks LSTMs Part 7 (output gate).mp4 36.7 MB
  • Chapter 8-Deep Learning and Neural Networks/309 Recurrent Neural Networks Vanishing Gradient & Exploding Gradient Problem.mp4 36.7 MB
  • Chapter 10-Transformers and Generative AI/376 RoBERTa.mp4 36.4 MB
  • Chapter 6-Machine Learning/215 Feature Engineering Linear Discriminant Analysis (Practicals).mp4 36.3 MB
  • Chapter 3-Business Statistics/80 Z Test.mp4 36.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/238 Outlier Treatment.mp4 36.0 MB
  • Chapter 4-Exploratory Data Analysis/97 Outlier Treatment (Theory).mp4 36.0 MB
  • Chapter 8-Deep Learning and Neural Networks/303 Convolutional Neural Networks Batch size vs iterations vs epochs.mp4 35.9 MB
  • Chapter 5-SQL for Data Science/132 Regular Expressions.mp4 35.8 MB
  • Chapter 6-Machine Learning/167 Classification AUC ROC Curve.mp4 35.6 MB
  • Chapter 6-Machine Learning/157 Regression Polynomial Regression.mp4 35.6 MB
  • Chapter 6-Machine Learning/193 Ensemble Boosting.mp4 35.4 MB
  • Chapter 10-Transformers and Generative AI/374 BERT Input Embeddings.mp4 35.4 MB
  • Chapter 9-Natural Language Processing/321 Intro to NLP Key Challenges.mp4 35.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/228 Components of Time Series.mp4 35.3 MB
  • Chapter 10-Transformers and Generative AI/367 Encoder Architecture.mp4 35.2 MB
  • Chapter 6-Machine Learning/161 Regression Lasso Regression.mp4 35.1 MB
  • Chapter 4-Exploratory Data Analysis/102 Univariate Analysis.mp4 35.1 MB
  • Chapter 6-Machine Learning/173 Classification Decision Tree.mp4 35.0 MB
  • Chapter 3-Business Statistics/82 ANOVA.mp4 35.0 MB
  • Chapter 15-Interview Prep (New Section)/462 DL Interview 10.mp4 34.7 MB
  • Chapter 3-Business Statistics/81 Chi Square Test.mp4 34.6 MB
  • Chapter 9-Natural Language Processing/340 Word Embeddings Word2Vec Intuition.mp4 34.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/283 Project 3 - Demand Forecasting Part 6.mp4 34.0 MB
  • Chapter 7-Time Series Analysis and Forecasting/259 Models - Grid Search (Part 1).mp4 34.0 MB
  • Chapter 8-Deep Learning and Neural Networks/287 What is a Neuron.mp4 33.9 MB
  • Chapter 14-Generative AI Projects/449 ML Interview 7.mp4 33.4 MB
  • Chapter 9-Natural Language Processing/359 Neural Networks GRU Part 3 (reset gate).mp4 33.3 MB
  • Chapter 10-Transformers and Generative AI/373 BERT Pre Tuning (Masked LM).mp4 33.2 MB
  • Chapter 3-Business Statistics/31 Qualitative Data.mp4 33.0 MB
  • Chapter 9-Natural Language Processing/328 NLP Basics nGrams.mp4 33.0 MB
  • Chapter 15-Interview Prep (New Section)/467 Gen AI Interview 5.mp4 32.7 MB
  • Chapter 15-Interview Prep (New Section)/476 Gen AI Interview 5.mp4 32.7 MB
  • Chapter 6-Machine Learning/223 Hyper Parameter Optimization GridSearchCV (Practicals).mp4 32.1 MB
  • Chapter 7-Time Series Analysis and Forecasting/249 Models - AR Theory.mp4 32.1 MB
  • Chapter 7-Time Series Analysis and Forecasting/231 AdditiveMultiplicative Decomposition.mp4 32.0 MB
  • Chapter 6-Machine Learning/185 Classification Issues in Classification (Part 1).mp4 31.8 MB
  • Chapter 3-Business Statistics/68 Calculating Probability with Z-score for Normal Distribution Part 1.mp4 31.7 MB
  • Chapter 8-Deep Learning and Neural Networks/305 Convolutional Neural Networks Model Summary & Parameters.mp4 31.7 MB
  • Chapter 3-Business Statistics/40 Population Sampling.mp4 31.7 MB
  • Chapter 3-Business Statistics/29 Descriptive Stats.mp4 31.6 MB
  • Chapter 15-Interview Prep (New Section)/457 DL Interview 5.mp4 31.6 MB
  • Chapter 15-Interview Prep (New Section)/475 Gen AI Interview 4.mp4 31.5 MB
  • Chapter 3-Business Statistics/38 Probability Sampling.mp4 31.3 MB
  • Chapter 8-Deep Learning and Neural Networks/299 Convolutional Neural Networks What is CNN.mp4 31.3 MB
  • Chapter 10-Transformers and Generative AI/403 Vector Database vs Vector Index.mp4 31.2 MB
  • Chapter 6-Machine Learning/176 Classification Decision Tree (Practicals).mp4 31.0 MB
  • Chapter 15-Interview Prep (New Section)/469 Gen AI Interview 7.mp4 30.7 MB
  • Chapter 15-Interview Prep (New Section)/478 Gen AI Interview 7.mp4 30.7 MB
  • Chapter 3-Business Statistics/57 Conditional Probability.mp4 30.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/262 Models - Facebook Prophet (Part 1).mp4 30.6 MB
  • Chapter 3-Business Statistics/61 Uniform Distribution.mp4 30.6 MB
  • Chapter 10-Transformers and Generative AI/410 Python Implementation Ollama.mp4 30.2 MB
  • Chapter 6-Machine Learning/168 Classification Classification Report.mp4 29.8 MB
  • Chapter 6-Machine Learning/159 Regression Bias Variance Tradeoff.mp4 29.6 MB
  • Chapter 15-Interview Prep (New Section)/454 DL Interview 2.mp4 29.4 MB
  • Chapter 8-Deep Learning and Neural Networks/293 Activation Function ReLu Function.mp4 29.4 MB
  • Chapter 9-Natural Language Processing/339 Word Embeddings Pre-Trained Word2Vec.mp4 29.1 MB
  • Chapter 3-Business Statistics/79 T Test.mp4 29.1 MB
  • Chapter 8-Deep Learning and Neural Networks/295 Gradient Descent.mp4 29.0 MB
  • Chapter 5-SQL for Data Science/121 Data Architecture - File server vs client server.mp4 28.6 MB
  • Chapter 11-Generative AI (Advanced)/424 What is ETL.mp4 28.5 MB
  • Chapter 10-Transformers and Generative AI/400 Few Shot Limitations.mp4 28.2 MB
  • Chapter 4-Exploratory Data Analysis/108 Feature Binning (Theory).mp4 28.2 MB
  • Chapter 3-Business Statistics/54 Addition Rule.mp4 28.1 MB
  • Chapter 15-Interview Prep (New Section)/456 DL Interview 4.mp4 28.0 MB
  • Chapter 10-Transformers and Generative AI/382 GPT Blocks.mp4 27.8 MB
  • Chapter 4-Exploratory Data Analysis/114 Data Cleaning.mp4 27.7 MB
  • Chapter 3-Business Statistics/53 Probability.mp4 27.6 MB
  • Chapter 9-Natural Language Processing/327 NLP Basics Stop Word Removal.mp4 27.4 MB
  • Chapter 3-Business Statistics/45 Median.mp4 27.4 MB
  • Chapter 8-Deep Learning and Neural Networks/291 Activation Function Sigmoid Function.mp4 27.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/274 Project 1 - Energy Forecasting Part 3.mp4 27.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/233 Testing TS Stationarity.mp4 27.2 MB
  • Chapter 10-Transformers and Generative AI/388 LLM Basics Prompt Tuning.mp4 27.2 MB
  • Chapter 3-Business Statistics/75 Hypothesis Testing.mp4 26.9 MB
  • Chapter 3-Business Statistics/65 Normal Distribution Part 2.mp4 26.9 MB
  • Chapter 9-Natural Language Processing/319 Intro to NLP Introduction.mp4 26.7 MB
  • Chapter 3-Business Statistics/83 Correlation Test (Practicals).mp4 26.6 MB
  • Chapter 10-Transformers and Generative AI/401 Chain of Thoughts Prompting.mp4 26.6 MB
  • Chapter 8-Deep Learning and Neural Networks/307 Recurrent Neural Networks Basics.mp4 26.4 MB
  • Chapter 8-Deep Learning and Neural Networks/289 Activation Function Step Function.mp4 26.2 MB
  • Chapter 8-Deep Learning and Neural Networks/316 Transfer Learning.mp4 25.6 MB
  • Chapter 14-Generative AI Projects/447 ML Interview 5.mp4 25.6 MB
  • Chapter 11-Generative AI (Advanced)/416 Deployment Basics.mp4 25.5 MB
  • Chapter 7-Time Series Analysis and Forecasting/230 Decomposition (Practicals).mp4 25.4 MB
  • Chapter 7-Time Series Analysis and Forecasting/265 Models - Multi Variate Time Series Analysis.mp4 25.4 MB
  • Chapter 7-Time Series Analysis and Forecasting/248 Models - ARIMA Part 2.mp4 25.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/273 Project 1 - Energy Forecasting Part 2.mp4 24.8 MB
  • Chapter 7-Time Series Analysis and Forecasting/236 Handle Missing Value.mp4 24.7 MB
  • Chapter 4-Exploratory Data Analysis/91 Handle Missing Values (Theory).mp4 24.7 MB
  • Chapter 7-Time Series Analysis and Forecasting/232 Stationarity.mp4 24.7 MB
  • Chapter 4-Exploratory Data Analysis/117 Bivariate Analysis Part 2.mp4 24.7 MB
  • Chapter 3-Business Statistics/78 Types of Test.mp4 24.6 MB
  • Chapter 6-Machine Learning/216 Feature Engineering kPCA & QDA.mp4 24.6 MB
  • Chapter 9-Natural Language Processing/322 Intro to NLP Linguistics.mp4 24.5 MB
  • Chapter 10-Transformers and Generative AI/375 ARLM vs AELM.mp4 24.4 MB
  • Chapter 9-Natural Language Processing/350 Neural Networks LSTMs Part 4 (Pointwise Operations).mp4 24.4 MB
  • Chapter 6-Machine Learning/211 Feature Engineering Chi-Square (Practicals).mp4 24.2 MB
  • Chapter 9-Natural Language Processing/337 Word Embeddings Word2Vec Introduction.mp4 24.1 MB
  • Chapter 2-Python for Data Science/23 Data Visualization.mp4 23.9 MB
  • Chapter 9-Natural Language Processing/320 Intro to NLP Introduction continued.mp4 23.7 MB
  • Chapter 6-Machine Learning/219 Hyper Parameter Optimization Manual HPO.mp4 23.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/264 Models - Facebook Prophet (Part 3).mp4 23.6 MB
  • Chapter 6-Machine Learning/163 Classification Introduction to Classification.mp4 23.4 MB
  • Chapter 15-Interview Prep (New Section)/466 Gen AI Interview 4.mp4 23.3 MB
  • Chapter 6-Machine Learning/210 Feature Engineering Chi-Square.mp4 23.3 MB
  • Chapter 15-Interview Prep (New Section)/464 Gen AI Interview 2.mp4 23.3 MB
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  • Chapter 9-Natural Language Processing/326 NLP Basics Tokenization.mp4 23.0 MB
  • Chapter 8-Deep Learning and Neural Networks/286 Understanding Deep Learning.mp4 23.0 MB
  • Chapter 9-Natural Language Processing/349 Neural Networks LSTMs Part 3 (Deep Dive).mp4 22.9 MB
  • Chapter 6-Machine Learning/178 Classification Random Forest Classifier.mp4 22.9 MB
  • Chapter 8-Deep Learning and Neural Networks/310 Recurrent Neural Networks LSTMs.mp4 22.8 MB
  • Chapter 3-Business Statistics/27 Introduction.mp4 22.5 MB
  • Chapter 12-ML DL Deployment/429 Why do we need Staging.mp4 22.2 MB
  • Chapter 6-Machine Learning/150 Regression Introduction to Regression Models.mp4 22.2 MB
  • Chapter 10-Transformers and Generative AI/379 Introduction to GPT (Decoder Only).mp4 22.2 MB
  • Chapter 10-Transformers and Generative AI/393 RAGs Paper Explanation.mp4 22.1 MB
  • Chapter 6-Machine Learning/217 Feature Engineering kPCA & QDA (Practicals).mp4 21.9 MB
  • Chapter 8-Deep Learning and Neural Networks/315 Pre-Trained Models MobileNet.mp4 21.9 MB
  • Chapter 15-Interview Prep (New Section)/463 Gen AI Interview 1.mp4 21.6 MB
  • Chapter 10-Transformers and Generative AI/368 Contextual Embeddings.mp4 21.4 MB
  • Chapter 4-Exploratory Data Analysis/86 DA,DS Processes.mp4 21.1 MB
  • Chapter 6-Machine Learning/207 Feature Engineering RFE and SFS.mp4 21.0 MB
  • Chapter 10-Transformers and Generative AI/369 Decoder Architecture.mp4 20.9 MB
  • Chapter 6-Machine Learning/164 Classification Types of Classification.mp4 20.6 MB
  • Chapter 3-Business Statistics/39 Non probability sampling.mp4 20.5 MB
  • Chapter 3-Business Statistics/44 Mean.mp4 20.5 MB
  • Chapter 6-Machine Learning/197 Ensemble Cross Entropy.mp4 20.5 MB
  • Chapter 4-Exploratory Data Analysis/103 Bivariate Analysis.mp4 20.3 MB
  • Chapter 3-Business Statistics/37 Cluster Random Sampling.mp4 20.1 MB
  • Chapter 8-Deep Learning and Neural Networks/288 Activation Functions.mp4 20.1 MB
  • Chapter 2-Python for Data Science/7 Let s leverage chatGPT for help.mp4 20.0 MB
  • Chapter 3-Business Statistics/41 Why n-1 and not n.mp4 19.9 MB
  • Chapter 6-Machine Learning/179 Classification Random Forest Classifier (Practicals).mp4 19.6 MB
  • Chapter 6-Machine Learning/195 Ensemble Gradient Boost.mp4 19.5 MB
  • Chapter 3-Business Statistics/59 Bayes Theorem 2.mp4 19.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/267 Introduction to Metrics.mp4 19.2 MB
  • Chapter 2-Python for Data Science/8 Introduction to Python.mp4 19.1 MB
  • Chapter 10-Transformers and Generative AI/414 RAG Systems with xAI LLM APIs.mp4 18.9 MB
  • Chapter 9-Natural Language Processing/323 NLP Basics Case Folding.mp4 18.9 MB
  • Chapter 10-Transformers and Generative AI/380 GPT Architecture.mp4 18.8 MB
  • Chapter 6-Machine Learning/139 Introduction to ML.mp4 18.7 MB
  • Chapter 3-Business Statistics/66 Skewness.mp4 18.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/234 Transformation.mp4 18.6 MB
  • Chapter 4-Exploratory Data Analysis/88 Visualization.mp4 18.6 MB
  • Chapter 4-Exploratory Data Analysis/99 Invalid Data.mp4 18.6 MB
  • Chapter 3-Business Statistics/69 Calculating Probability with Z-score for Normal Distribution Part 2.mp4 18.4 MB
  • Chapter 12-ML DL Deployment/425 ETL Tools.mp4 18.2 MB
  • Chapter 7-Time Series Analysis and Forecasting/275 Project 2 - Stock Market Prediction Part 1.mp4 18.1 MB
  • Chapter 3-Business Statistics/46 Mode.mp4 18.1 MB
  • Chapter 3-Business Statistics/55 Independent Events.mp4 18.1 MB
  • Chapter 7-Time Series Analysis and Forecasting/227 Anomaly Detection.mp4 17.8 MB
  • Chapter 4-Exploratory Data Analysis/89 Steps involved in EDA (Data Sourcing).mp4 17.7 MB
  • Chapter 4-Exploratory Data Analysis/107 Derived Metrics.mp4 17.6 MB
  • Chapter 8-Deep Learning and Neural Networks/296 Artificial Neural Networks Intuition.mp4 17.6 MB
  • Chapter 9-Natural Language Processing/329 NLP Basics Vectorization.mp4 17.4 MB
  • Chapter 3-Business Statistics/56 Cumulative Probability.mp4 17.1 MB
  • Chapter 3-Business Statistics/49 IQR.mp4 17.0 MB
  • Chapter 4-Exploratory Data Analysis/118 EDA Report.mp4 16.9 MB
  • Chapter 3-Business Statistics/47 Measures of Dispersion.mp4 16.8 MB
  • Chapter 3-Business Statistics/32 Quantitative Data.mp4 16.5 MB
  • Chapter 3-Business Statistics/77 p-value.mp4 16.3 MB
  • Chapter 4-Exploratory Data Analysis/94 Standardization Example.mp4 16.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/241 Feature Scaling Standardization.mp4 16.3 MB
  • Chapter 6-Machine Learning/146 Pre-Requisites Standardization Example.mp4 16.3 MB
  • Chapter 3-Business Statistics/51 Mean Deviation.mp4 16.2 MB
  • Chapter 4-Exploratory Data Analysis/90 Steps involved in EDA (Data Cleaning).mp4 16.1 MB
  • Chapter 9-Natural Language Processing/357 Neural Networks GRU Part 1.mp4 16.0 MB
  • Chapter 3-Business Statistics/74 Covariance VS Correlation.mp4 15.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/276 Project 2 - Stock Market Prediction Part 2.mp4 15.6 MB
  • Chapter 15-Interview Prep (New Section)/461 DL Interview 9.mp4 15.6 MB
  • Chapter 8-Deep Learning and Neural Networks/308 Recurrent Neural Networks Types of RNN.mp4 15.3 MB
  • Chapter 4-Exploratory Data Analysis/105 Numerical Analysis.mp4 15.2 MB
  • Chapter 7-Time Series Analysis and Forecasting/224 Introduction to TSA.mp4 15.1 MB
  • Chapter 10-Transformers and Generative AI/Additional_Files/Power+BI+Ebook.pdf 15.1 MB
  • Chapter 2-Python for Data Science/6 Google Colab, what s that.mp4 14.6 MB
  • Chapter 10-Transformers and Generative AI/372 BERT Fine Tuning.mp4 14.6 MB
  • Chapter 13-Data Engineering Basics/432 Data lake vs Data Warehouse.mp4 14.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/271 Mean Absolute Percentage Error.mp4 14.3 MB
  • Chapter 3-Business Statistics/34 Population vs Sample.mp4 14.2 MB
  • Chapter 7-Time Series Analysis and Forecasting/257 Models - ACFPACF.mp4 14.0 MB
  • Chapter 10-Transformers and Generative AI/371 Configurations of BERT.mp4 14.0 MB
  • Chapter 7-Time Series Analysis and Forecasting/235 Introduction to Pre-Processing.mp4 13.9 MB
  • Chapter 8-Deep Learning and Neural Networks/292 Activation Function TanH Function.mp4 13.8 MB
  • Chapter 3-Business Statistics/70 Calculating Probability with Z-score for Normal Distribution Part 3.mp4 13.7 MB
  • Chapter 3-Business Statistics/36 Types of Sampling.mp4 13.7 MB
  • Chapter 7-Time Series Analysis and Forecasting/278 Project 3 - Demand Forecasting Part 1.mp4 13.7 MB
  • Chapter 3-Business Statistics/63 Poisson Distribution.mp4 13.4 MB
  • Chapter 7-Time Series Analysis and Forecasting/256 Models - Decomposition.mp4 13.3 MB
  • Chapter 5-SQL for Data Science/120 Installation.mp4 13.2 MB
  • Chapter 9-Natural Language Processing/338 Word Embeddings Word2Vec Part 2.mp4 13.0 MB
  • Chapter 3-Business Statistics/35 Why Sampling is important.mp4 12.9 MB
  • Chapter 12-ML DL Deployment/426 What is Data Warehouse.mp4 12.8 MB
  • Chapter 4-Exploratory Data Analysis/87 What is EDA.mp4 12.1 MB
  • Chapter 7-Time Series Analysis and Forecasting/272 Project 1 - Energy Forecasting Part 1.mp4 12.0 MB
  • Chapter 12-ML DL Deployment/428 Data Warehouse Structure.mp4 11.9 MB
  • Chapter 3-Business Statistics/30 Inferential Stats.mp4 10.4 MB
  • Chapter 12-ML DL Deployment/431 Data Lake.mp4 10.4 MB
  • Chapter 7-Time Series Analysis and Forecasting/247 Models - ARIMA Part 1.mp4 10.2 MB
  • Chapter 7-Time Series Analysis and Forecasting/252 Models - Find p,d,q in ARIMA.mp4 10.2 MB
  • Chapter 9-Natural Language Processing/330 NLP Basics Word Embeddings.mp4 10.2 MB
  • Chapter 3-Business Statistics/76 Tailed Tests.mp4 10.1 MB
  • Chapter 3-Business Statistics/67 Kurtosis.mp4 10.1 MB
  • Chapter 4-Exploratory Data Analysis/85 Agenda.mp4 9.8 MB
  • Chapter 4-Exploratory Data Analysis/101 Types of Analysis.mp4 9.8 MB
  • Chapter 7-Time Series Analysis and Forecasting/242 Feature Scaling Normalization.mp4 9.7 MB
  • Chapter 4-Exploratory Data Analysis/95 Normalization Example.mp4 9.6 MB
  • Chapter 6-Machine Learning/147 Pre-Requisites Normalization Example.mp4 9.6 MB
  • Chapter 7-Time Series Analysis and Forecasting/226 Time Series Analysis.mp4 9.4 MB
  • Chapter 6-Machine Learning/138 Agenda.mp4 9.3 MB
  • Chapter 1-Introduction/1Welcome Page.mp4 9.2 MB
  • Chapter 4-Exploratory Data Analysis/100 Types of Data.mp4 9.0 MB
  • Chapter 8-Deep Learning and Neural Networks/285 Introduction to Deep Learning.mp4 8.8 MB
  • Chapter 12-ML DL Deployment/430 What are Data Marts.mp4 8.7 MB
  • Chapter 13-Data Engineering Basics/442 ML Interview Prep.mp4 8.7 MB
  • Chapter 3-Business Statistics/58 Bayes Theorem 1.mp4 8.2 MB
  • Chapter 6-Machine Learning/141 Use Cases Part 1.mp4 8.2 MB
  • Chapter 7-Time Series Analysis and Forecasting/260 Models - Grid Search (Part 2).mp4 8.1 MB
  • Chapter 3-Business Statistics/43 Measures of Central Tendency.mp4 7.8 MB
  • Chapter 3-Business Statistics/60 Probability Distrubution (Agenda).mp4 7.7 MB
  • Chapter 7-Time Series Analysis and Forecasting/268 Forecasting Evaluation Metrics.mp4 7.1 MB
  • Chapter 13-Data Engineering Basics/433 Elements of Datalake.mp4 7.1 MB
  • Chapter 7-Time Series Analysis and Forecasting/269 Mean Squarred Error.mp4 7.0 MB
  • Chapter 12-ML DL Deployment/427 Benefits of Data Warehouse.mp4 6.7 MB
  • Chapter 7-Time Series Analysis and Forecasting/270 Root Mean Squarred Error.mp4 6.5 MB
  • Chapter 7-Time Series Analysis and Forecasting/229 Decomposition.mp4 6.4 MB
  • Chapter 3-Business Statistics/48 Range.mp4 6.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/281 Project 3 - Demand Forecasting Part 4.mp4 5.8 MB
  • Chapter 3-Business Statistics/33 Sampling Techniques (Agenda).mp4 5.4 MB
  • Chapter 6-Machine Learning/142 Use Cases Part 2.mp4 5.3 MB
  • Chapter 7-Time Series Analysis and Forecasting/246 Models - Algorithms.mp4 4.9 MB
  • Chapter 10-Transformers and Generative AI/390 RAGs Introduction to RAG.mp4 4.6 MB
  • Chapter 4-Exploratory Data Analysis/104 Multivariate Analysis.mp4 4.3 MB
  • Chapter 3-Business Statistics/42 Descriptive Analytics (Agenda).mp4 3.5 MB
  • Chapter 3-Business Statistics/52 Probability (Agenda).mp4 3.3 MB
  • Chapter 11-Generative AI (Advanced)/423 Introduction to Data Engineering.mp4 2.0 MB
  • Chapter 3-Business Statistics/28 Types of Data (Agenda).mp4 2.0 MB
  • Chapter 3-Business Statistics/71 Covariance & Correlation (Agenda).mp4 1.6 MB
  • Chapter 10-Transformers and Generative AI/Additional_Files/RAGPaper (1).pdf 885.3 kB
  • Chapter 10-Transformers and Generative AI/Additional_Files/RAGPaper.pdf 885.3 kB
  • Chapter 2-Python for Data Science/Additional_Files/Python+Installation+Guide.pdf 862.2 kB
  • Chapter 10-Transformers and Generative AI/Additional_Files/RAG+with+GrokAI.ipynb 20.5 kB
  • Chapter 10-Transformers and Generative AI/Additional_Files/RAG+with+Ollama.ipynb 10.2 kB

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