| 00. Additional Files | |||
| 02. - Python+Installation+Guide.pdf | 841.95 KB | ||
| 10 - Power+BI+Ebook.pdf | 14.38 MB | ||
| 10 - RAG+with+GrokAI.ipynb | 20.04 KB | ||
| 10 - RAG+with+Ollama.ipynb | 10 KB | ||
| 10 - RAGPaper (1).pdf | 864.57 KB | ||
| 10 - RAGPaper.pdf | 864.57 KB | ||
| 01. Introduction | |||
| 1 Welcome Page.mp4 | 51.49 MB | ||
| 02. Python for Data Science | |||
| 10 Datatypes Operators.mp4 | 364.22 MB | ||
| 11 Lists.mp4 | 465.6 MB | ||
| 12 Tuples.mp4 | 424.24 MB | ||
| 13 Sets.mp4 | 220.6 MB | ||
| 14 Dictionary.mp4 | 297.26 MB | ||
| 15 Loops & Iterations.mp4 | 336.17 MB | ||
| 16 Functions.mp4 | 393.85 MB | ||
| 17 Map Reduce Filter.mp4 | 514.75 MB | ||
| 18 File Handling.mp4 | 327.29 MB | ||
| 19 Control Structures.mp4 | 171.9 MB | ||
| 20 OOPs.mp4 | 335.18 MB | ||
| 21 NumPy.mp4 | 485.43 MB | ||
| 22 Pandas.mp4 | 567.4 MB | ||
| 23 Data Visualization.mp4 | 113.44 MB | ||
| 24 Matplotlib.mp4 | 449.69 MB | ||
| 25 Seaborn.mp4 | 325.23 MB | ||
| 5 Let's install Python together!!.mp4 | 273.19 MB | ||
| 6 Google Colab, what's that.mp4 | 51.36 MB | ||
| 7 Let's leverage chatGPT for help!!.mp4 | 70.76 MB | ||
| 8 Introduction to Python.mp4 | 94.25 MB | ||
| 9 Variables & Keywords.mp4 | 352.33 MB | ||
| 03. Business Statistics | |||
| 27 Introduction.mp4 | 42.33 MB | ||
| 28 Types of Data (Agenda).mp4 | 3.18 MB | ||
| 29 Descriptive Stats.mp4 | 79.79 MB | ||
| 30 Inferential Stats.mp4 | 13.38 MB | ||
| 31 Qualitative Data.mp4 | 50.03 MB | ||
| 32 Quantitative Data.mp4 | 20.51 MB | ||
| 33 Sampling Techniques (Agenda).mp4 | 7.62 MB | ||
| 34 Population vs Sample.mp4 | 17.9 MB | ||
| 35 Why Sampling is important.mp4 | 17 MB | ||
| 36 Types of Sampling.mp4 | 20.74 MB | ||
| 37 Cluster Random Sampling.mp4 | 30.59 MB | ||
| 38 Probability Sampling.mp4 | 40.69 MB | ||
| 39 Non probability sampling.mp4 | 31.45 MB | ||
| 40 Population Sampling.mp4 | 56.37 MB | ||
| 41 Why n-1 and not n.mp4 | 32.83 MB | ||
| 42 Descriptive Analytics (Agenda).mp4 | 4.97 MB | ||
| 43 Measures of Central Tendency.mp4 | 9.09 MB | ||
| 44 Mean.mp4 | 26.98 MB | ||
| 45 Median.mp4 | 36.45 MB | ||
| 46 Mode.mp4 | 28.12 MB | ||
| 47 Measures of Dispersion.mp4 | 21.57 MB | ||
| 48 Range.mp4 | 7.26 MB | ||
| 49 IQR.mp4 | 19.47 MB | ||
| 50 Variance Standard Deviation.mp4 | 56.38 MB | ||
| 51 Mean Deviation.mp4 | 18.94 MB | ||
| 52 Probability (Agenda).mp4 | 4.67 MB | ||
| 53 Probability.mp4 | 41.99 MB | ||
| 54 Addition Rule.mp4 | 45.38 MB | ||
| 55 Independent Events.mp4 | 25.97 MB | ||
| 56 Cumulative Probability.mp4 | 29.42 MB | ||
| 57 Conditional Probability.mp4 | 57.91 MB | ||
| 58 Bayes Theorem 1.mp4 | 9.45 MB | ||
| 59 Bayes Theorem 2.mp4 | 24.97 MB | ||
| 60 Probability Distrubution (Agenda).mp4 | 10.38 MB | ||
| 61 Uniform Distribution.mp4 | 44.12 MB | ||
| 62 Binomial Distribution.mp4 | 70.84 MB | ||
| 63 Poisson Distribution.mp4 | 18.84 MB | ||
| 64 Normal Distribution Part 1.mp4 | 77.48 MB | ||
| 65 Normal Distribution Part 2.mp4 | 34.26 MB | ||
| 66 Skewness.mp4 | 25.21 MB | ||
| 67 Kurtosis.mp4 | 14.06 MB | ||
| 68 Calc Prob w Z-score - Normal Distrib Pt 1.mp4 | 49.64 MB | ||
| 69 Calc Prob w Z-score - Normal Distrib Pt 2.mp4 | 46.98 MB | ||
| 70 Calc Prob w Z-score - Normal Distrib Pt 3.mp4 | 27 MB | ||
| 71 Covariance & Correlation (Agenda).mp4 | 2.68 MB | ||
| 72 Covariance.mp4 | 54.35 MB | ||
| 73 Correlation.mp4 | 86.55 MB | ||
| 74 Covariance VS Correlation.mp4 | 26.64 MB | ||
| 75 Hypothesis Testing.mp4 | 52.89 MB | ||
| 76 Tailed Tests.mp4 | 16.83 MB | ||
| 77 p-value.mp4 | 32 MB | ||
| 78 Types of Test.mp4 | 26.87 MB | ||
| 79 T Test.mp4 | 51.26 MB | ||
| 80 Z Test.mp4 | 67.39 MB | ||
| 81 Chi Square Test.mp4 | 67.34 MB | ||
| 82 ANOVA.mp4 | 68.94 MB | ||
| 83 Correlation Test (Practicals).mp4 | 44.6 MB | ||
| 04. Exploratory Data Analysis | |||
| 100 Types of Data.mp4 | 10.97 MB | ||
| 101 Types of Analysis.mp4 | 12.03 MB | ||
| 102 Univariate Analysis.mp4 | 54.11 MB | ||
| 103 Bivariate Analysis.mp4 | 35.65 MB | ||
| 104 Multivariate Analysis.mp4 | 5.23 MB | ||
| 105 Numerical Analysis.mp4 | 19.41 MB | ||
| 106 Analysis Practicals.mp4 | 211.54 MB | ||
| 107 Derived Metrics.mp4 | 26.53 MB | ||
| 108 Feature Binning (Theory).mp4 | 44.16 MB | ||
| 109 Feature Binning (Practicals).mp4 | 71.01 MB | ||
| 110 Feature Encoding (Theory).mp4 | 83.76 MB | ||
| 111 Feature Encoding (Practicals).mp4 | 169.81 MB | ||
| 112 Case Study.mp4 | 79.59 MB | ||
| 113 Data Exploration.mp4 | 151.44 MB | ||
| 114 Data Cleaning.mp4 | 73.51 MB | ||
| 115 Univariate Analysis.mp4 | 97.59 MB | ||
| 116 Bivariate Analysis Part 1.mp4 | 129.32 MB | ||
| 117 Bivariate Analysis Part 2.mp4 | 54.46 MB | ||
| 118 EDA Report.mp4 | 35.83 MB | ||
| 85 Agenda.mp4 | 15.24 MB | ||
| 86 DA,DS Processes.mp4 | 24.27 MB | ||
| 87 What is EDA.mp4 | 27.14 MB | ||
| 88 Visualization.mp4 | 30.52 MB | ||
| 89 Steps involved in EDA (Data Sourcing).mp4 | 28.8 MB | ||
| 90 Steps involved in EDA (Data Cleaning).mp4 | 30.44 MB | ||
| 91 Handle Missing Values (Theory).mp4 | 58.52 MB | ||
| 92 Handle Missing Values (Practicals).mp4 | 92.11 MB | ||
| 93 Feature Scaling (Theory).mp4 | 74.23 MB | ||
| 94 Standardization Example.mp4 | 22.66 MB | ||
| 95 Normalization Example.mp4 | 13.95 MB | ||
| 96 Feature Scaling (Practicals).mp4 | 111.56 MB | ||
| 97 Outlier Treatment (Theory).mp4 | 59.81 MB | ||
| 98 Outlier Treatment (Practicals).mp4 | 102.74 MB | ||
| 99 Invalid Data.mp4 | 42.51 MB | ||
| 05. SQL for Data Science | |||
| 120 Installation.mp4 | 59.09 MB | ||
| 121 Data Architect - File server vs client server.mp4 | 119.34 MB | ||
| 122 Introduction to SQL.mp4 | 164.5 MB | ||
| 123 Constraints in SQL.mp4 | 289.4 MB | ||
| 124 Table Basics - DDLs.mp4 | 396.54 MB | ||
| 125 Table Basics - DQLs.mp4 | 290.03 MB | ||
| 126 Table Basics - DMLs.mp4 | 461.59 MB | ||
| 127 Joins.mp4 | 448.42 MB | ||
| 128 Data Import Export.mp4 | 545.58 MB | ||
| 129 Aggregation Functions.mp4 | 211.19 MB | ||
| 130 String functions.mp4 | 287.89 MB | ||
| 131 Date Time Functions.mp4 | 233.88 MB | ||
| 132 Regular Expressions.mp4 | 160.7 MB | ||
| 133 Nested Queries.mp4 | 263.49 MB | ||
| 134 Views.mp4 | 222.76 MB | ||
| 135 Stored Procedures.mp4 | 439.12 MB | ||
| 136 Windows Function.mp4 | 365.77 MB | ||
| 137 SQL Python connectivity.mp4 | 341.27 MB | ||
| 06. Machine Learning | |||
| 138 Agenda.mp4 | 13.74 MB | ||
| 139 Introduction to ML.mp4 | 32.17 MB | ||
| 140 Types of ML.mp4 | 104.93 MB | ||
| 141 Use Cases Part 1.mp4 | 19.87 MB | ||
| 142 Use Cases Part 2.mp4 | 8.04 MB | ||
| 143 Pre-Requisites Features.mp4 | 88.74 MB | ||
| 144 Pre-Requisites Train-Test Split.mp4 | 115.75 MB | ||
| 145 Pre-Requisites Feature Scaling.mp4 | 74.24 MB | ||
| 146 Pre-Requisites Standardization Example.mp4 | 22.66 MB | ||
| 147 Pre-Requisites Normalization Example.mp4 | 13.95 MB | ||
| 148 Pre-Requisites Feature Encoding.mp4 | 83.76 MB | ||
| 149 Pre-Req Feature Encoding (Practicals).mp4 | 78.84 MB | ||
| 150 Regression Intro to Regression Models.mp4 | 38.9 MB | ||
| 151 Regression Regression Metrics.mp4 | 151.37 MB | ||
| 152 Regression Regression Metrics (Practicals).mp4 | 102.58 MB | ||
| 153 Regression Simple Linear Regression.mp4 | 55.94 MB | ||
| 154 Regression Multiple Linear Regression.mp4 | 51.48 MB | ||
| 155 Regression Linear Regression (Practicals).mp4 | 210.8 MB | ||
| 156 Regress Multi Linear Regress (Practicals).mp4 | 96.24 MB | ||
| 157 Regression Polynomial Regression.mp4 | 39.25 MB | ||
| 158 Regression Polynomial Regress (Practicals).mp4 | 176.58 MB | ||
| 159 Regression Bias Variance Tradeoff.mp4 | 30.95 MB | ||
| 160 Regression Ridge Regression.mp4 | 55.15 MB | ||
| 161 Regression Lasso Regression.mp4 | 43.86 MB | ||
| 162 Regress Lasso, Ridge Regress (Practicals).mp4 | 335.38 MB | ||
| 163 Classification Intro to Classification.mp4 | 41.27 MB | ||
| 164 Classification Types of Classification.mp4 | 25.69 MB | ||
| 165 Classification Log Loss.mp4 | 63.61 MB | ||
| 166 Classification Confusion Matrix.mp4 | 72.79 MB | ||
| 167 Classification AUC ROC Curve.mp4 | 48.57 MB | ||
| 168 Classification Classification Report.mp4 | 47.22 MB | ||
| 169 Classification kNN Classifier.mp4 | 80.8 MB | ||
| 170 Classification kNN Classifier Example.mp4 | 78.01 MB | ||
| 171 Classification Practicals Part 1.mp4 | 100.52 MB | ||
| 172 Classification kNN Classifier (Practicals).mp4 | 115.41 MB | ||
| 173 Classification Decision Tree.mp4 | 72.98 MB | ||
| 174 Class.. Decision Tree (Entropy based).mp4 | 112.46 MB | ||
| 175 Classification Decision Tree (gini based).mp4 | 104.23 MB | ||
| 176 Classification Decision Tree (Practicals).mp4 | 66.53 MB | ||
| 177 Classification Decision Tree (Visualizing).mp4 | 160.32 MB | ||
| 178 Classification Random Forest Classifier.mp4 | 40.94 MB | ||
| 179 Class.. Random Forest Classifier (Practs).mp4 | 46.69 MB | ||
| 180 Classification Naive Bayes Classifier.mp4 | 89.9 MB | ||
| 181 Classification SVM Classifier Part 1.mp4 | 71.78 MB | ||
| 182 Classification SVM Classifier Part 2.mp4 | 60.17 MB | ||
| 183 Classification Logistic Regression.mp4 | 119.15 MB | ||
| 184 Classification Practicals so far.mp4 | 218.7 MB | ||
| 185 Class.. Issues in Classification (Part 1).mp4 | 48.41 MB | ||
| 186 Class.. Issues in Classification (Part 2).mp4 | 80.24 MB | ||
| 187 Classification Project.mp4 | 308.88 MB | ||
| 188 Ensemble Intro to Ensemble Learning.mp4 | 117.94 MB | ||
| 189 Ensemble Bagging.mp4 | 50.65 MB | ||
| 190 Ensemble Bagging vs Random Forest.mp4 | 91.07 MB | ||
| 191 Ensemble Bagging (Practicals #1).mp4 | 241.19 MB | ||
| 192 Ensemble Bagging (Practicals #2).mp4 | 178.06 MB | ||
| 193 Ensemble Boosting.mp4 | 41.91 MB | ||
| 194 Ensemble Ada Boost.mp4 | 97.89 MB | ||
| 195 Ensemble Gradient Boost.mp4 | 20.82 MB | ||
| 196 Ensemble CF vs LF.mp4 | 47.15 MB | ||
| 197 Ensemble Cross Entropy.mp4 | 22.06 MB | ||
| 198 Ensemble Xtreme Gradient Boosting (XGB).mp4 | 94.38 MB | ||
| 199 Ensemble Project.mp4 | 210.58 MB | ||
| 200 Clustering Introduction to Clustering.mp4 | 104.01 MB | ||
| 201 Clustering kMeans Clustering.mp4 | 121.01 MB | ||
| 202 Clustering kMeans Clustering (Practicals).mp4 | 133.4 MB | ||
| 203 Clustering Hierarchical Clustering.mp4 | 81.94 MB | ||
| 204 Clustering Hierarchy Cluster (Practicals).mp4 | 106.49 MB | ||
| 205 Clustering Mean Shift Clustering.mp4 | 73.35 MB | ||
| 206 Feature Engineering Introduction.mp4 | 87.4 MB | ||
| 207 Feature Engineering RFE and SFS.mp4 | 29.05 MB | ||
| 208 Feature Engineering RFE (Practicals).mp4 | 190.89 MB | ||
| 209 Feature Eng.. Successive Feature Selection.mp4 | 180.08 MB | ||
| 210 Feature Engineering Chi-Square.mp4 | 31.7 MB | ||
| 211 Feature Eng.. Chi-Square (Practicals).mp4 | 54.64 MB | ||
| 212 Feat Eng Principal Component Analysis.mp4 | 258.21 MB | ||
| 213 Feat Eng Principal Component Analy (Practls).mp4 | 79.7 MB | ||
| 214 Feat Eng Linear Discriminant Analysis.mp4 | 54.25 MB | ||
| 215 Feat Eng Linear Discriminant Analysis (Practls).mp4 | 84.87 MB | ||
| 216 Feature Engineering kPCA & QDA.mp4 | 53.51 MB | ||
| 217 Feature Engineering kPCA & QDA (Practicals).mp4 | 50.71 MB | ||
| 218 Hyper Parameter Optimization (HPO) Basics.mp4 | 76.02 MB | ||
| 219 Hyper Parameter Optimization Manual HPO.mp4 | 31.87 MB | ||
| 220 HPO GridSearch vs RandomizedSearch.mp4 | 70.77 MB | ||
| 221 HPO Manual HPO (Practicals).mp4 | 164.77 MB | ||
| 222 HPO RandomizedSearchCV (Practicals).mp4 | 138.78 MB | ||
| 223 HPO GridSearchCV (Practicals).mp4 | 60.41 MB | ||
| 07. Time Series Analysis, Forecast | |||
| 224 Introduction to TSA.mp4 | 23.29 MB | ||
| 225 Time Series vs Regression.mp4 | 77.14 MB | ||
| 226 Time Series Analysis.mp4 | 14.58 MB | ||
| 227 Anomaly Detection.mp4 | 29.89 MB | ||
| 228 Components of Time Series.mp4 | 46.34 MB | ||
| 229 Decomposition.mp4 | 6.46 MB | ||
| 230 Decomposition (Practicals).mp4 | 46.48 MB | ||
| 231 AdditiveMultiplicative Decomp.mp4 | 38.94 MB | ||
| 232 Stationarity.mp4 | 28.53 MB | ||
| 233 Testing TS Stationarity.mp4 | 43.64 MB | ||
| 234 Transformation.mp4 | 21.42 MB | ||
| 235 Introduction to Pre-Processing.mp4 | 17.81 MB | ||
| 236 Handle Missing Value.mp4 | 58.55 MB | ||
| 237 Handle Missing Value (Practicals).mp4 | 92.12 MB | ||
| 238 Outlier Treatment.mp4 | 59.77 MB | ||
| 239 3-Sigma Technique.mp4 | 102.73 MB | ||
| 240 Feature Scaling.mp4 | 74.24 MB | ||
| 241 Feature Scaling Standardization.mp4 | 22.67 MB | ||
| 242 Feature Scaling Normalization.mp4 | 13.95 MB | ||
| 243 Feature Scaling (Practicals).mp4 | 111.6 MB | ||
| 244 Feature Encoding.mp4 | 83.77 MB | ||
| 245 Feature Encoding (Practicals).mp4 | 78.85 MB | ||
| 246 Models - Algorithms.mp4 | 5.79 MB | ||
| 247 Models - ARIMA Part 1.mp4 | 11.35 MB | ||
| 248 Models - ARIMA Part 2.mp4 | 32.11 MB | ||
| 249 Models - AR Theory.mp4 | 41.67 MB | ||
| 250 Models - MA Theory.mp4 | 46 MB | ||
| 251 Models - ACFPACF Plots.mp4 | 45.36 MB | ||
| 252 Models - Find p,d,q in ARIMA.mp4 | 11.88 MB | ||
| 253 Models - ARIMA (Practicals Part 1).mp4 | 90.9 MB | ||
| 254 Models - ARIMA (Practicals Part 2).mp4 | 85.74 MB | ||
| 255 Models - ARIMA (Final).mp4 | 70.73 MB | ||
| 256 Models - Decomposition.mp4 | 31.81 MB | ||
| 257 Models - ACFPACF.mp4 | 21.56 MB | ||
| 258 Models - Best Transformation.mp4 | 72.32 MB | ||
| 259 Models - Grid Search (Part 1).mp4 | 90.15 MB | ||
| 260 Models - Grid Search (Part 2).mp4 | 16.93 MB | ||
| 261 Models - Final Model Building.mp4 | 83.57 MB | ||
| 262 Models - Facebook Prophet (Part 1).mp4 | 52 MB | ||
| 263 Models - Facebook Prophet (Part 2).mp4 | 84.67 MB | ||
| 264 Models - Facebook Prophet (Part 3).mp4 | 51.95 MB | ||
| 265 Mods - Multi Variate Time Series Analy.mp4 | 42.59 MB | ||
| 266 Mods - Facebook Prophet Uni v Multi.mp4 | 118.2 MB | ||
| 267 Introduction to Metrics.mp4 | 29.98 MB | ||
| 268 Forecasting Evaluation Metrics.mp4 | 6.72 MB | ||
| 269 Mean Squarred Error.mp4 | 7.04 MB | ||
| 270 Root Mean Squarred Error.mp4 | 7.1 MB | ||
| 271 Mean Absolute Percentage Error.mp4 | 16.31 MB | ||
| 272 Proj 1 - Energy Forecasting Part 1.mp4 | 25.59 MB | ||
| 273 Proj 1 - Energy Forecasting Part 2.mp4 | 53.23 MB | ||
| 274 Proj 1 - Energy Forecasting Part 3.mp4 | 77.66 MB | ||
| 275 Proj 2 - Stock Market Prediction Pt 1.mp4 | 30.64 MB | ||
| 276 Proj 2 - Stock Market Prediction Pt 2.mp4 | 37.68 MB | ||
| 277 Proj 2 - Stock Market Prediction Pt 3.mp4 | 152.52 MB | ||
| 278 Proj 3 - Demand Forecasting Part 1.mp4 | 24.07 MB | ||
| 279 Proj 3 - Demand Forecasting Part 2.mp4 | 113.42 MB | ||
| 280 Proj 3 - Demand Forecasting Part 3.mp4 | 94.14 MB | ||
| 281 Proj 3 - Demand Forecasting Part 4.mp4 | 10.83 MB | ||
| 282 Proj 3 - Demand Forecasting Part 5.mp4 | 141.06 MB | ||
| 283 Proj 3 - Demand Forecasting Part 6.mp4 | 79.8 MB | ||
| 08. Deep Learning and NN | |||
| 285 Introduction to Deep Learning.mp4 | 10.62 MB | ||
| 286 Understanding Deep Learning.mp4 | 92.76 MB | ||
| 287 What is a Neuron.mp4 | 132.66 MB | ||
| 288 Activation Functions.mp4 | 70.41 MB | ||
| 289 Activation Function Step Function.mp4 | 91.35 MB | ||
| 290 Activation Function Linear Function.mp4 | 170.98 MB | ||
| 291 Activation Function Sigmoid Function.mp4 | 93.51 MB | ||
| 292 Activation Function TanH Function.mp4 | 45.91 MB | ||
| 293 Activation Function ReLu Function.mp4 | 148.45 MB | ||
| 294 Backpropagation & Forward Pass.mp4 | 212.37 MB | ||
| 295 Gradient Descent.mp4 | 107.42 MB | ||
| 296 Artificial Neural Networks Intuition.mp4 | 28.24 MB | ||
| 297 Artificial Neural Networks Practicals.mp4 | 140.78 MB | ||
| 298 Artificial NN Hyper Param Optimize.mp4 | 101.91 MB | ||
| 299 Convolutional Neural Networks (CNN).mp4 | 123.11 MB | ||
| 300 CNN Steps in CNN.mp4 | 176.23 MB | ||
| 301 CNN Architecture Explained.mp4 | 253.06 MB | ||
| 302 CNN Image Augmentation.mp4 | 205.75 MB | ||
| 303 CNN Batch size vs iterations vs epochs.mp4 | 120.93 MB | ||
| 304 CNN Practicals.mp4 | 308.33 MB | ||
| 305 CNN Model Summary & Parameters.mp4 | 113.47 MB | ||
| 306 CNN Project (X-Ray detection).mp4 | 260.89 MB | ||
| 307 Recurrent Neural Networks (RNN) Basics.mp4 | 35.18 MB | ||
| 308 RNN Types of RNN.mp4 | 19 MB | ||
| 309 RNN Vanishing, Exploding Gradient Prob.mp4 | 94.64 MB | ||
| 310 RNN LSTMs.mp4 | 36.19 MB | ||
| 311 RNN LSTMs (Practicals).mp4 | 88.98 MB | ||
| 312 Pre-Trained Models.mp4 | 171.97 MB | ||
| 313 Pre-Trained Models (Practicals).mp4 | 214.15 MB | ||
| 314 Pre-Trained Models VGG16.mp4 | 75.88 MB | ||
| 315 Pre-Trained Models MobileNet.mp4 | 46.76 MB | ||
| 316 Transfer Learning.mp4 | 39.19 MB | ||
| 317 Proj Pneumonia Detection X-Ray Img.mp4 | 124.27 MB | ||
| 09. Natural Lang Processing | |||
| 319 Intro to NLP Introduction.mp4 | 59.1 MB | ||
| 320 Intro to NLP Introduction continued.mp4 | 46.87 MB | ||
| 321 Intro to NLP Key Challenges.mp4 | 67.52 MB | ||
| 322 Intro to NLP Linguistics.mp4 | 31.11 MB | ||
| 323 NLP Basics Case Folding.mp4 | 27.96 MB | ||
| 324 NLP Basics SCR.mp4 | 89.81 MB | ||
| 325 NLP Basics Handling Contractions.mp4 | 64.58 MB | ||
| 326 NLP Basics Tokenization.mp4 | 38.86 MB | ||
| 327 NLP Basics Stop Word Removal.mp4 | 40.58 MB | ||
| 328 NLP Basics nGrams.mp4 | 52.28 MB | ||
| 329 NLP Basics Vectorization.mp4 | 24.37 MB | ||
| 330 NLP Basics Word Embeddings.mp4 | 14.51 MB | ||
| 331 NLP Basics Bag of Words.mp4 | 50.68 MB | ||
| 332 NLP Basics Bag of Words (Practicals).mp4 | 154.6 MB | ||
| 333 NLP Basics TF-IDF.mp4 | 68.59 MB | ||
| 334 NLP Basics TF-IDF (Practicals).mp4 | 150.4 MB | ||
| 335 NLP Part of Speech Tag, Named Entity Recog.mp4 | 57.27 MB | ||
| 336 NLP Basics NER (Practicals).mp4 | 96.94 MB | ||
| 337 Word Embeddings Word2Vec Introduction.mp4 | 23.68 MB | ||
| 338 Word Embeddings Word2Vec Part 2.mp4 | 13.59 MB | ||
| 339 Word Embeddings Pre-Trained Word2Vec.mp4 | 62.3 MB | ||
| 340 Word Embeddings Word2Vec Intuition.mp4 | 37.53 MB | ||
| 341 Word Embed Word2Vec - Check X Features.mp4 | 65.76 MB | ||
| 342 Word Embeddings Word2Vec CBOW.mp4 | 103.25 MB | ||
| 343 Word Embed Word2Vec Skip Grams.mp4 | 55.89 MB | ||
| 344 Word Embeddings GloVe.mp4 | 79.39 MB | ||
| 345 Word Embeddings FastText.mp4 | 141.98 MB | ||
| 346 Word Embeddings Cosine Similarity.mp4 | 94.96 MB | ||
| 347 Neural Networks (NN) LSTMs Part 1.mp4 | 73.43 MB | ||
| 348 NN LSTMs Part 2 (Architecture).mp4 | 106.95 MB | ||
| 349 NN LSTMs Part 3 (Deep Dive).mp4 | 28.26 MB | ||
| 350 NN LSTMs Part 4 Pointwise Operation.mp4 | 34.74 MB | ||
| 351 NN LSTMs Part 5 (forget gate).mp4 | 61.76 MB | ||
| 352 NN LSTMs Part 6 (inpute gate).mp4 | 115.02 MB | ||
| 353 NN LSTMs Part 7 (output gate).mp4 | 49.5 MB | ||
| 354 NN LSTMs Part 8 (Practicals #1).mp4 | 219.76 MB | ||
| 355 NN LSTMs Part 9 (Practicals #2).mp4 | 90.07 MB | ||
| 356 NN LSTMs Part 10 (Practicals #3).mp4 | 112.51 MB | ||
| 357 NN GRU Part 1.mp4 | 19.82 MB | ||
| 358 NN GRU Part 2.mp4 | 146.16 MB | ||
| 359 NN GRU Part 3 (reset gate).mp4 | 41.27 MB | ||
| 360 NN GRU Part 4 (update gate).mp4 | 44.6 MB | ||
| 361 NN GRU Part 5 (Practicals).mp4 | 105.53 MB | ||
| 362 NN Bi-Directional LSTMs.mp4 | 116.33 MB | ||
| 10. Transformers, Gen AI | |||
| 364 Transformer Types.mp4 | 127.41 MB | ||
| 365 Introduction to Transformers.mp4 | 145.8 MB | ||
| 366 Self Attention.mp4 | 125.4 MB | ||
| 367 Encoder Architecture.mp4 | 47.99 MB | ||
| 368 Contextual Embeddings.mp4 | 30.2 MB | ||
| 369 Decoder Architecture.mp4 | 31.39 MB | ||
| 370 Introduction to BERT.mp4 | 72.09 MB | ||
| 371 Configurations of BERT.mp4 | 25.37 MB | ||
| 372 BERT Fine Tuning.mp4 | 21.34 MB | ||
| 373 BERT Pre Tuning (Masked LM).mp4 | 50.1 MB | ||
| 374 BERT Input Embeddings.mp4 | 62.12 MB | ||
| 375 ARLM vs AELM.mp4 | 43.4 MB | ||
| 376 RoBERTa.mp4 | 60.41 MB | ||
| 377 DistilBERT.mp4 | 92.38 MB | ||
| 378 AlBERT.mp4 | 112.4 MB | ||
| 379 Introduction to GPT (Decoder Only).mp4 | 30.54 MB | ||
| 380 GPT Architecture.mp4 | 27.73 MB | ||
| 381 GPT Masked Multi Head Attention.mp4 | 85.96 MB | ||
| 382 GPT Blocks.mp4 | 48.92 MB | ||
| 383 GPT Training.mp4 | 54.63 MB | ||
| 385 LLM Basics Context Window.mp4 | 56.2 MB | ||
| 386 LLM Basics Prompt.mp4 | 63.94 MB | ||
| 387 LLM Basics Prompt Engineering.mp4 | 119.88 MB | ||
| 388 LLM Basics Prompt Tuning.mp4 | 57.09 MB | ||
| 389 LLM Basics Prompt Structures.mp4 | 106.9 MB | ||
| 390 RAGs Introduction to RAG.mp4 | 5.72 MB | ||
| 391 RAGs What and Why.mp4 | 119.24 MB | ||
| 392 RAGs Use Cases.mp4 | 138.77 MB | ||
| 393 RAGs Paper Explanation.mp4 | 53.32 MB | ||
| 394 RAGs Architecture Explanation.mp4 | 106.51 MB | ||
| 395 RAGs Detailed Architect Walk-thru.mp4 | 74.79 MB | ||
| 396 RAGs Practical Use Cases.mp4 | 256.53 MB | ||
| 397 LangChain.mp4 | 83.3 MB | ||
| 398 Intro Prompt Engineering.mp4 | 80.96 MB | ||
| 399 Types of Prompting.mp4 | 90.41 MB | ||
| 400 Few Shot Limitations.mp4 | 50.66 MB | ||
| 401 Chain of Thoughts Prompting.mp4 | 45.02 MB | ||
| 402 Vector Databases.mp4 | 86.44 MB | ||
| 403 Vector Database vs Vector Index.mp4 | 60.82 MB | ||
| 404 How Vector Databases works.mp4 | 72.07 MB | ||
| 405 Vector Database (Practicals).mp4 | 260.83 MB | ||
| 406 LSH.mp4 | 85.36 MB | ||
| 407 Model Overview Ollama.mp4 | 310.61 MB | ||
| 408 Getting Started Ollama.mp4 | 316.98 MB | ||
| 409 Model Testing Ollama.mp4 | 384.54 MB | ||
| 410 Python Implementation Ollama.mp4 | 131.64 MB | ||
| 411 RAG Systems Ollama.mp4 | 69.04 MB | ||
| 412 RAG Systems (Practicals) Ollama.mp4 | 219.26 MB | ||
| 413 Model Overview LLM APIs.mp4 | 198.55 MB | ||
| 414 RAG Systems with xAI LLM APIs.mp4 | 34.15 MB | ||
| 415 RAG Sys w xAI (Practicals) LLM APIs.mp4 | 141.55 MB | ||
| 11. Gen AI (Adv) | |||
| 416 Deployment Basics.mp4 | 27.39 MB | ||
| 417 Introduction to Flask.mp4 | 72.2 MB | ||
| 418 Flask Basic App.mp4 | 88.42 MB | ||
| 419 Model Building (Breast Cancer Predict).mp4 | 135.84 MB | ||
| 420 Flask App (Breast Cancer Prediction).mp4 | 187.83 MB | ||
| 421 AWS.mp4 | 58.89 MB | ||
| 422 AWS Deploy (Breast Cancer Predict).mp4 | 238.25 MB | ||
| 423 Introduction to Data Engineering.mp4 | 3.25 MB | ||
| 424 What is ETL.mp4 | 39.27 MB | ||
| 12. ML DL Deployment | |||
| 425 ETL Tools.mp4 | 25.14 MB | ||
| 426 What is Data Warehouse.mp4 | 26.63 MB | ||
| 427 Benefits of Data Warehouse.mp4 | 18.9 MB | ||
| 428 Data Warehouse Structure.mp4 | 19.13 MB | ||
| 429 Why do we need Staging.mp4 | 30.38 MB | ||
| 430 What are Data Marts.mp4 | 11.84 MB | ||
| 431 Data Lake.mp4 | 22.44 MB | ||
| 13. Data Engineer Basics | |||
| 432 Data lake vs Data Warehouse.mp4 | 28.52 MB | ||
| 433 Elements of Datalake.mp4 | 14.58 MB | ||
| 434 ChatScholar (EdTech Project).mp4 | 399.7 MB | ||
| 435 Research RAG Chatbot.mp4 | 295.13 MB | ||
| 436 Auto AI Claims Processing - Gen AI.mp4 | 403.93 MB | ||
| 437 PDF RAG(s) Chatbot Web Scrape Data.mp4 | 309.7 MB | ||
| 438 AI Career Coach Part 1.mp4 | 93.98 MB | ||
| 439 AI Career Coach Part 2.mp4 | 112.49 MB | ||
| 440 AI Career Coach Part 3.mp4 | 223.18 MB | ||
| 441 Sustainability Chatbot (GROK AI).mp4 | 379.46 MB | ||
| 442 ML Interview Prep.mp4 | 49.21 MB | ||
| 14. Gen AI Projects | |||
| 443 ML Interview #1.mp4 | 178 MB | ||
| 444 ML Interview #2.mp4 | 204.99 MB | ||
| 445 ML Interview #3.mp4 | 145.65 MB | ||
| 446 ML Interview #4.mp4 | 143.18 MB | ||
| 447 ML Interview #5.mp4 | 98.43 MB | ||
| 448 ML Interview #6.mp4 | 151.35 MB | ||
| 449 ML Interview #7.mp4 | 117.27 MB | ||
| 450 ML Interview #8.mp4 | 137.44 MB | ||
| 15. Interview Prep (New) | |||
| 451 ML Interview #9.mp4 | 182.6 MB | ||
| 452 ML Interview #10.mp4 | 136.39 MB | ||
| 453 DL Interview #1.mp4 | 162.63 MB | ||
| 454 DL Interview #2.mp4 | 110.6 MB | ||
| 455 DL Interview #3.mp4 | 94.54 MB | ||
| 456 DL Interview #4.mp4 | 102.47 MB | ||
| 457 DL Interview #5.mp4 | 118.68 MB | ||
| 458 DL Interview #6.mp4 | 148.35 MB | ||
| 459 DL Interview #7.mp4 | 55.11 MB | ||
| 460 DL Interview #8.mp4 | 139.98 MB | ||
| 461 DL Interview #9.mp4 | 58.59 MB | ||
| 462 DL Interview #10.mp4 | 136.64 MB | ||
| 463 Gen AI Interview #1.mp4 | 76.82 MB | ||
| 464 Gen AI Interview #2.mp4 | 90.47 MB | ||
| 465 Gen AI Interview #3.mp4 | 157.71 MB | ||
| 466 Gen AI Interview #4.mp4 | 126.79 MB | ||
| 467 Gen AI Interview #5.mp4 | 122.87 MB | ||
| 468 Gen AI Interview #6.mp4 | 144.05 MB | ||
| 469 Gen AI Interview #7.mp4 | 116.41 MB | ||
| 470 Gen AI Interview #8.mp4 | 150.24 MB | ||
| 471 Gen AI Interview #9.mp4 | 149.16 MB | ||
| 472 Gen AI Interview #10.mp4 | 156.04 MB | ||
| 473 Gen AI Interview #2.mp4 | 90.47 MB | ||
| 474 Gen AI Interview #3.mp4 | 157.71 MB | ||
| 475 Gen AI Interview #4.mp4 | 126.79 MB | ||
| 476 Gen AI Interview #5.mp4 | 122.87 MB | ||
| 477 Gen AI Interview #6.mp4 | 144.05 MB | ||
| 478 Gen AI Interview #7.mp4 | 116.41 MB | ||
| 479 Gen AI Interview #8.mp4 | 150.24 MB | ||
| 480 Gen AI Interview #9.mp4 | 149.16 MB | ||
| 481 Gen AI Interview #10.mp4 | 156.04 MB | ||
| 2025 Data Science & AI Masters From Python To Gen AI ~ Udemy - Satyajit Pattnaiko.txt | 228 B | ||
| ▲ 478 total files | |||
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2025 Data Science & AI Masters From Python To Gen AI ~ Udemy - Satyajit Pattnaik
https://www.udemy.com/course/data-science-ai-masters-from-python-to-gen-ai
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Credit due: TorrentDay BOOKWARE-BOOKTIME
id=8827293
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| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.2 GB | freecoursewb | 8 months | 2 | 1 | |
| 521.9 MB | freecoursewb | 8 months | 4 | 0 | |
| 477.1 MB | freecoursewb | 9 months | 2 | 0 | |
| 2.4 GB | freecoursewb | 10 months | 13 | 12 | |
| 2.6 GB | freecoursewb | 11 months | 8 | 18 |
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