| Stored files |
| "Chapter_7-Time_Series_Analysis_and_Forecasting\239 3-Sigma Technique.mp4" | 107,719,957 | CB0E665D |
| "Chapter_7-Time_Series_Analysis_and_Forecasting\243 Feature Scaling (Practicals).mp4" | 117,022,896 | 8EDF137A |
| "Chapter_7-Time_Series_Analysis_and_Forecasting\266 Models - Facebook Prophet (Uni vs Multi).mp4" | 123,940,112 | BCD21407 |
| "Chapter_7-Time_Series_Analysis_and_Forecasting\277 Project 2 - Stock Market Prediction Part 3.mp4" | 159,933,504 | 729F686E |
| "Chapter_7-Time_Series_Analysis_and_Forecasting\279 Project 3 - Demand Forecasting Part 2.mp4" | 118,932,006 | 713C6D2F |
| "Chapter_7-Time_Series_Analysis_and_Forecasting\282 Project 3 - Demand Forecasting Part 5.mp4" | 147,908,422 | 04546B02 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\287 What is a Neuron.mp4" | 139,103,326 | E2F7CAD8 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\290 Activation Function Linear Function.mp4" | 179,290,530 | 278CF369 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\293 Activation Function ReLu Function.mp4" | 155,660,862 | 574850CB |
| "Chapter_8-Deep_Learning_and_Neural_Networks\294 Backpropagation & Forward Pass.mp4" | 222,681,128 | 0570F326 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\295 Gradient Descent.mp4" | 112,635,224 | 1B835F5F |
| "Chapter_8-Deep_Learning_and_Neural_Networks\297 Artificial Neural Networks Practicals.mp4" | 147,621,352 | E1540609 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\298 Artificial Neural Networks Hyper Parameter Optimization.mp4" | 106,860,861 | F3B3AFE1 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\299 Convolutional Neural Networks What is CNN.mp4" | 129,086,027 | D63B39F2 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\300 Convolutional Neural Networks Steps in CNN.mp4" | 184,788,608 | 2A9E6314 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\301 Convolutional Neural Networks Architecture Explained.mp4" | 265,352,821 | F7109AD4 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\302 Convolutional Neural Networks Image Augmentation.mp4" | 215,741,280 | 374766EA |
| "Chapter_8-Deep_Learning_and_Neural_Networks\303 Convolutional Neural Networks Batch size vs iterations vs epochs.mp4" | 126,799,922 | B612CF8A |
| "Chapter_8-Deep_Learning_and_Neural_Networks\304 Convolutional Neural Networks Practicals.mp4" | 323,306,940 | 510F2917 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\305 Convolutional Neural Networks Model Summary & Parameters.mp4" | 118,983,208 | 7865E7D1 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\306 Convolutional Neural Networks Project (X-Ray detection).mp4" | 273,563,147 | F771094C |
| "Chapter_8-Deep_Learning_and_Neural_Networks\312 Pre-Trained Models.mp4" | 180,321,437 | 331A4EFB |
| "Chapter_8-Deep_Learning_and_Neural_Networks\313 Pre-Trained Models (Practicals).mp4" | 224,554,266 | 9EF7EDA4 |
| "Chapter_8-Deep_Learning_and_Neural_Networks\317 Project Pneumonia Detection from X-Ray Images.mp4" | 130,306,963 | 19E58A6F |
| "Chapter_9-Natural_Language_Processing\332 NLP Basics Bag of Words (Practicals).mp4" | 162,108,939 | 9004AE31 |
| "Chapter_9-Natural_Language_Processing\334 NLP Basics TF-IDF (Practicals).mp4" | 157,709,571 | 450126F6 |
| "Chapter_9-Natural_Language_Processing\336 NLP Basics NER (Practicals).mp4" | 101,645,765 | 1A556EEA |
| "Chapter_9-Natural_Language_Processing\342 Word Embeddings Word2Vec CBOW.mp4" | 108,270,190 | 809A776C |
| "Chapter_9-Natural_Language_Processing\345 Word Embeddings FastText.mp4" | 148,872,499 | 1AE31333 |
| "Chapter_9-Natural_Language_Processing\348 Neural Networks LSTMs Part 2 (Architecture).mp4" | 112,145,333 | 22E86F65 |
| "Chapter_9-Natural_Language_Processing\352 Neural Networks LSTMs Part 6 (inpute gate).mp4" | 120,602,823 | 40F63729 |
| "Chapter_9-Natural_Language_Processing\354 Neural Networks LSTMs Part 8 (Practicals #1).mp4" | 230,434,384 | 51CD2917 |
| "Chapter_9-Natural_Language_Processing\356 Neural Networks LSTMs Part 10 (Practicals #3).mp4" | 117,972,089 | 9506515F |
| "Chapter_9-Natural_Language_Processing\358 Neural Networks GRU Part 2.mp4" | 153,255,179 | A3BAB396 |
| "Chapter_9-Natural_Language_Processing\361 Neural Networks GRU Part 5 (Practicals).mp4" | 110,655,374 | 859AF783 |
| "Chapter_9-Natural_Language_Processing\362 Neural Networks Bi-Directional LSTMs.mp4" | 121,982,871 | 3969C32A |
| "Chapter_10-Transformers_and_Generative_AI\364 Transformer Types.mp4" | 133,602,082 | 7785A75C |
| "Chapter_10-Transformers_and_Generative_AI\365 Introduction to Transformers.mp4" | 152,881,100 | 058454C8 |
| "Chapter_10-Transformers_and_Generative_AI\366 Self Attention.mp4" | 131,493,740 | 47D17B5A |
| "Chapter_10-Transformers_and_Generative_AI\378 AlBERT.mp4" | 117,855,685 | 0FE956D5 |
| "Chapter_10-Transformers_and_Generative_AI\387 LLM Basics Prompt Engineering.mp4" | 125,702,396 | 658F014E |
| "Chapter_10-Transformers_and_Generative_AI\389 LLM Basics Prompt Structures.mp4" | 112,096,673 | DE355497 |
| "Chapter_10-Transformers_and_Generative_AI\391 RAGs What and Why.mp4" | 125,029,233 | 137FCD6F |
| "Chapter_10-Transformers_and_Generative_AI\392 RAGs Use Cases.mp4" | 145,515,647 | 051644B8 |
| "Chapter_10-Transformers_and_Generative_AI\394 RAGs Architecture Explanation.mp4" | 111,681,353 | 6A85D6B9 |
| "Chapter_10-Transformers_and_Generative_AI\396 RAGs Practical Use Cases.mp4" | 268,995,481 | A8A9F52C |
| "Chapter_10-Transformers_and_Generative_AI\405 Vector Database (Practicals).mp4" | 273,502,891 | 648A4807 |
| "Chapter_10-Transformers_and_Generative_AI\407 Model Overview Ollama.mp4" | 325,700,975 | 1917347C |
| "Chapter_10-Transformers_and_Generative_AI\408 Getting Started Ollama.mp4" | 332,378,662 | 6F599268 |
| "Chapter_10-Transformers_and_Generative_AI\409 Model Testing Ollama.mp4" | 403,222,389 | 123EDC5A |
| "Chapter_10-Transformers_and_Generative_AI\410 Python Implementation Ollama.mp4" | 138,038,193 | 9D3EEFD0 |
| "Chapter_10-Transformers_and_Generative_AI\412 RAG Systems (Practicals) Ollama.mp4" | 229,908,281 | ADB11310 |
| "Chapter_10-Transformers_and_Generative_AI\413 Model Overview LLM APIs.mp4" | 208,198,056 | 47EF4449 |
| "Chapter_10-Transformers_and_Generative_AI\415 RAG Systems with xAI (Practicals) LLM APIs.mp4" | 148,425,625 | 5FE5FC51 |
| "Chapter_11-Generative_AI_(Advanced)\419 Model Building (Breast Cancer Prediction).mp4" | 142,440,176 | 71256D6C |
| "Chapter_11-Generative_AI_(Advanced)\420 Flask App (Breast Cancer Prediction).mp4" | 196,954,815 | C171204D |
| "Chapter_11-Generative_AI_(Advanced)\422 AWS Deployment (Breast Cancer Prediction).mp4" | 249,818,821 | 7B3D1267 |
| "Chapter_13-Data_Engineering_Basics\434 ChatScholar (EdTech Project).mp4" | 419,113,474 | D6F7D398 |
| "Chapter_13-Data_Engineering_Basics\435 Research RAG Chatbot.mp4" | 309,471,155 | F7E775B9 |
| "Chapter_13-Data_Engineering_Basics\436 Automated AI Claims Processing using Gen AI.mp4" | 423,549,759 | 33A970E5 |
| "Chapter_13-Data_Engineering_Basics\437 Multi PDF RAG Chatbot built on Web Scraped Data.mp4" | 324,740,645 | 07A89E7B |
| "Chapter_13-Data_Engineering_Basics\439 AI Career Coach Part 2.mp4" | 117,952,312 | 6A70571E |
| "Chapter_13-Data_Engineering_Basics\440 AI Career Coach Part 3.mp4" | 234,021,159 | 3E2DC324 |
| "Chapter_13-Data_Engineering_Basics\441 Sustainability Chatbot (GROK AI).mp4" | 397,888,408 | 8BEC42EC |
| "Chapter_14-Generative_AI_Projects\443 ML Interview #1.mp4" | 186,648,633 | 94FAD2A8 |
| "Chapter_14-Generative_AI_Projects\444 ML Interview #2.mp4" | 214,950,780 | DF604EE5 |
| "Chapter_14-Generative_AI_Projects\445 ML Interview #3.mp4" | 152,730,267 | 024C618E |
| "Chapter_14-Generative_AI_Projects\446 ML Interview #4.mp4" | 150,140,304 | 1F0CAF0A |
| "Chapter_14-Generative_AI_Projects\447 ML Interview #5.mp4" | 103,209,363 | B2F64695 |
| "Chapter_14-Generative_AI_Projects\448 ML Interview #6.mp4" | 158,699,141 | 37E4D2F9 |
| "Chapter_14-Generative_AI_Projects\449 ML Interview #7.mp4" | 122,966,794 | 59CAA7A2 |
| "Chapter_14-Generative_AI_Projects\450 ML Interview #8.mp4" | 144,120,911 | F7BFBB18 |
| "Chapter_15-Interview_Prep_(New_Section)\451 ML Interview #9.mp4" | 191,467,521 | D58DB54C |
| "Chapter_15-Interview_Prep_(New_Section)\452 ML Interview #10.mp4" | 143,011,075 | D2390558 |
| "Chapter_15-Interview_Prep_(New_Section)\453 DL Interview #1.mp4" | 170,532,548 | E108C399 |
| "Chapter_15-Interview_Prep_(New_Section)\454 DL Interview #2.mp4" | 115,977,487 | 07B3A8CD |
| "Chapter_15-Interview_Prep_(New_Section)\456 DL Interview #4.mp4" | 107,444,635 | 6D1BF78E |
| "Chapter_15-Interview_Prep_(New_Section)\457 DL Interview #5.mp4" | 124,444,748 | 8CCA8496 |
| "Chapter_15-Interview_Prep_(New_Section)\458 DL Interview #6.mp4" | 155,560,750 | 0BACE26E |
| "Chapter_15-Interview_Prep_(New_Section)\460 DL Interview #8.mp4" | 146,784,320 | 92E29B0F |
| "Chapter_15-Interview_Prep_(New_Section)\462 DL Interview #10.mp4" | 143,279,260 | 961C6877 |
| "Chapter_15-Interview_Prep_(New_Section)\465 Gen AI Interview #3.mp4" | 165,368,888 | B3EC24FA |
| "Chapter_15-Interview_Prep_(New_Section)\466 Gen AI Interview #4.mp4" | 132,953,662 | A25AE226 |
| "Chapter_15-Interview_Prep_(New_Section)\467 Gen AI Interview #5.mp4" | 128,839,381 | 6088C120 |
| "Chapter_15-Interview_Prep_(New_Section)\468 Gen AI Interview #6.mp4" | 151,051,458 | 22BD852C |
| "Chapter_15-Interview_Prep_(New_Section)\469 Gen AI Interview #7.mp4" | 122,061,232 | 2378FCE7 |
| "Chapter_15-Interview_Prep_(New_Section)\470 Gen AI Interview #8.mp4" | 157,537,557 | 0CC1D733 |
| "Chapter_15-Interview_Prep_(New_Section)\471 Gen AI Interview #9.mp4" | 156,400,593 | 981E92BE |
| "Chapter_15-Interview_Prep_(New_Section)\472 Gen AI Interview #10.mp4" | 163,619,278 | 7F5530DA |
| "Chapter_15-Interview_Prep_(New_Section)\474 Gen AI Interview #3.mp4" | 165,368,888 | B3EC24FA |
| "Chapter_15-Interview_Prep_(New_Section)\475 Gen AI Interview #4.mp4" | 132,953,662 | A25AE226 |
| "Chapter_15-Interview_Prep_(New_Section)\476 Gen AI Interview #5.mp4" | 128,839,381 | 6088C120 |
| "Chapter_15-Interview_Prep_(New_Section)\477 Gen AI Interview #6.mp4" | 151,051,458 | 22BD852C |
| "Chapter_15-Interview_Prep_(New_Section)\478 Gen AI Interview #7.mp4" | 122,061,232 | 2378FCE7 |
| "Chapter_15-Interview_Prep_(New_Section)\479 Gen AI Interview #8.mp4" | 157,537,557 | 0CC1D733 |
| "Chapter_15-Interview_Prep_(New_Section)\480 Gen AI Interview #9.mp4" | 156,400,593 | 981E92BE |
| "Chapter_15-Interview_Prep_(New_Section)\481 Gen AI Interview #10.mp4" | 163,619,278 | 7F5530DA |
| "Chapter_2-Python_for_Data_Science\10 Datatypes Operators.mp4" | 381,914,422 | 9AC5B769 |
| "Chapter_2-Python_for_Data_Science\11 Lists.mp4" | 488,221,034 | C6D7EB6A |
| "Chapter_2-Python_for_Data_Science\12 Tuples.mp4" | 444,844,197 | B74B5682 |
| "Chapter_2-Python_for_Data_Science\13 Sets.mp4" | 231,316,070 | AB4D46E3 |
| "Chapter_2-Python_for_Data_Science\14 Dictionary.mp4" | 311,700,974 | 051FF68F |
| "Chapter_2-Python_for_Data_Science\15 Loops & Iterations.mp4" | 352,495,194 | 2E127657 |
| "Chapter_2-Python_for_Data_Science\16 Functions.mp4" | 412,982,862 | E83CA27B |
| "Chapter_2-Python_for_Data_Science\17 Map Reduce Filter.mp4" | 539,755,651 | 0C96281B |
| "Chapter_2-Python_for_Data_Science\18 File Handling.mp4" | 343,187,215 | 5A1372DB |
| "Chapter_2-Python_for_Data_Science\19 Control Structures.mp4" | 180,247,418 | F5060D85 |
| "Chapter_2-Python_for_Data_Science\20 OOPs.mp4" | 351,466,203 | 2C2B7D32 |
| "Chapter_2-Python_for_Data_Science\21 NumPy.mp4" | 509,012,943 | 9415E3FA |
| "Chapter_2-Python_for_Data_Science\22 Pandas.mp4" | 594,963,753 | AAA65ECE |
| "Chapter_2-Python_for_Data_Science\23 Data Visualization.mp4" | 118,948,749 | 159BACDC |
| "Chapter_2-Python_for_Data_Science\24 Matplotlib.mp4" | 471,535,311 | 87FA762D |
| "Chapter_2-Python_for_Data_Science\25 Seaborn.mp4" | 341,032,814 | 4B0665F7 |
| "Chapter_2-Python_for_Data_Science\5 Let's install Python together!!.mp4" | 286,462,963 | 004E0E3A |
| "Chapter_2-Python_for_Data_Science\9 Variables & Keywords.mp4" | 369,441,177 | 311EA8E1 |
| "Chapter_4-Exploratory_Data_Analysis\106 Analysis Practicals.mp4" | 221,815,450 | 3930D3F0 |
| "Chapter_4-Exploratory_Data_Analysis\111 Feature Encoding (Practicals).mp4" | 178,061,038 | 0771A30A |
| "Chapter_4-Exploratory_Data_Analysis\113 Data Exploration.mp4" | 158,793,766 | 8B408016 |
| "Chapter_4-Exploratory_Data_Analysis\115 Univariate Analysis.mp4" | 102,325,528 | 7708AC90 |
| "Chapter_4-Exploratory_Data_Analysis\116 Bivariate Analysis Part 1.mp4" | 135,596,697 | 1402A022 |
| "Chapter_4-Exploratory_Data_Analysis\96 Feature Scaling (Practicals).mp4" | 116,978,552 | 5CE44498 |
| "Chapter_4-Exploratory_Data_Analysis\98 Outlier Treatment (Practicals).mp4" | 107,730,708 | 085D50F9 |
| "Chapter_5-SQL_for_Data_Science\121 Data Architecture - File server vs client server.mp4" | 125,139,149 | E6F0296C |
| "Chapter_5-SQL_for_Data_Science\122 Introduction to SQL.mp4" | 172,487,273 | FCECDCE6 |
| "Chapter_5-SQL_for_Data_Science\123 Constraints in SQL.mp4" | 303,453,312 | CDDE285F |
| "Chapter_5-SQL_for_Data_Science\124 Table Basics - DDLs.mp4" | 415,805,657 | AB0634F9 |
| "Chapter_5-SQL_for_Data_Science\125 Table Basics - DQLs.mp4" | 304,118,837 | 32942B9F |
| "Chapter_5-SQL_for_Data_Science\126 Table Basics - DMLs.mp4" | 484,008,604 | 48A52EF9 |
| "Chapter_5-SQL_for_Data_Science\127 Joins.mp4" | 470,199,158 | 40C1B5A6 |
| "Chapter_5-SQL_for_Data_Science\128 Data Import Export.mp4" | 572,080,464 | BDD355DF |
| "Chapter_5-SQL_for_Data_Science\129 Aggregation Functions.mp4" | 221,444,824 | 72B8CE6B |
| "Chapter_5-SQL_for_Data_Science\130 String functions.mp4" | 301,879,783 | 5599CB9D |
| "Chapter_5-SQL_for_Data_Science\131 Date Time Functions.mp4" | 245,239,106 | 8808788B |
| "Chapter_5-SQL_for_Data_Science\132 Regular Expressions.mp4" | 168,501,005 | 21E24DDC |
| "Chapter_5-SQL_for_Data_Science\133 Nested Queries.mp4" | 276,288,851 | 384F1BA1 |
| "Chapter_5-SQL_for_Data_Science\134 Views.mp4" | 233,576,666 | 509E4E46 |
| "Chapter_5-SQL_for_Data_Science\135 Stored Procedures.mp4" | 460,450,081 | 1011F34B |
| "Chapter_5-SQL_for_Data_Science\136 Windows Function.mp4" | 383,542,287 | 205DAAA5 |
| "Chapter_5-SQL_for_Data_Science\137 SQL Python connectivity.mp4" | 357,845,282 | 812CDF12 |
| "Chapter_6-Machine_Learning\140 Types of ML.mp4" | 110,026,749 | 9F2B44DA |
| "Chapter_6-Machine_Learning\144 Pre-Requisites Train-Test Split.mp4" | 121,375,491 | C0FA024D |
| "Chapter_6-Machine_Learning\151 Regression Regression Metrics.mp4" | 158,721,962 | 8C320996 |
| "Chapter_6-Machine_Learning\152 Regression Regression Metrics (Practicals).mp4" | 107,564,393 | 0415D02A |
| "Chapter_6-Machine_Learning\155 Regression Linear Regression (Practicals).mp4" | 221,043,494 | 8922D233 |
| "Chapter_6-Machine_Learning\156 Regression Multiple Linear Regression (Practicals).mp4" | 100,910,367 | EAF89B58 |
| "Chapter_6-Machine_Learning\158 Regression Polynomial Regression (Practicals).mp4" | 185,160,001 | 7EFF62BF |
| "Chapter_6-Machine_Learning\162 Regression Lasso & Ridge Regression (Practicals).mp4" | 351,669,491 | BC255AE0 |
| "Chapter_6-Machine_Learning\171 Classification Practicals Part 1.mp4" | 105,406,727 | F81BC227 |
| "Chapter_6-Machine_Learning\172 Classification kNN Classifier (Practicals).mp4" | 121,014,763 | 046FDC58 |
| "Chapter_6-Machine_Learning\174 Classification Decision Tree (Entropy based).mp4" | 117,926,269 | A865C407 |
| "Chapter_6-Machine_Learning\175 Classification Decision Tree (gini based).mp4" | 109,290,262 | C4E77318 |
| "Chapter_6-Machine_Learning\177 Classification Decision Tree (Visualizing).mp4" | 168,106,975 | 702F3D90 |
| "Chapter_6-Machine_Learning\183 Classification Logistic Regression.mp4" | 124,941,763 | B0A07DEC |
| "Chapter_6-Machine_Learning\184 Classification Practicals so far.mp4" | 229,327,122 | 7EBF0BCB |
| "Chapter_6-Machine_Learning\187 Classification Project.mp4" | 323,879,818 | 714F2432 |
| "Chapter_6-Machine_Learning\188 Ensemble Introduction to Ensemble Learning.mp4" | 123,667,508 | 8238ED8B |
| "Chapter_6-Machine_Learning\191 Ensemble Bagging (Practicals #1).mp4" | 252,906,868 | A3D78096 |
| "Chapter_6-Machine_Learning\192 Ensemble Bagging (Practicals #2).mp4" | 186,709,396 | F60BD106 |
| "Chapter_6-Machine_Learning\194 Ensemble Ada Boost.mp4" | 102,639,928 | 85D990F6 |
| "Chapter_6-Machine_Learning\199 Ensemble Project.mp4" | 220,806,293 | 80ABF801 |
| "Chapter_6-Machine_Learning\200 Clustering Introduction to Clustering.mp4" | 109,064,069 | 4B1E8B3E |
| "Chapter_6-Machine_Learning\201 Clustering kMeans Clustering.mp4" | 126,886,646 | F48F0230 |
| "Chapter_6-Machine_Learning\202 Clustering kMeans Clustering (Practicals).mp4" | 139,880,005 | 4F8DDABC |
| "Chapter_6-Machine_Learning\204 Clustering Hierarchical Clustering (Practicals).mp4" | 111,664,493 | 8E319F36 |
| "Chapter_6-Machine_Learning\208 Feature Engineering RFE (Practicals).mp4" | 200,161,760 | 85924041 |
| "Chapter_6-Machine_Learning\209 Feature Engineering Successive Feature Selection.mp4" | 188,827,847 | 9B36EFBB |
| "Chapter_6-Machine_Learning\212 Feature Engineering Principal Component Analysis.mp4" | 270,757,347 | C6091D24 |
| "Chapter_6-Machine_Learning\221 Hyper Parameter Optimization Manual HPO (Practicals).mp4" | 172,771,114 | 3080D339 |
| "Chapter_6-Machine_Learning\222 Hyper Parameter Optimization RandomizedSearchCV (Practicals).mp4" | 145,523,636 | A69CA8B9 |
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