Python ML VENKAT SIR 202009
17 STUDENTS ENROLLED
Course Curriculum
| Session 1 19-09-2020 | |||
| Python ML Session 1 Video 1 What_is_ML Details | 00:00:00 | ||
| Python ML Session 1 Video 2 What_is_DL Details | 00:00:00 | ||
| Python ML Session 1 Video 3 What_is_AI Details | 00:00:00 | ||
| Python ML Session 1 Video 4 What_is_Data_Science Details | 00:00:00 | ||
| Python ML Session 1 Video 5 Data_Science_Skillset Details | 00:00:00 | ||
| Python ML Session 1 Video 6 Data_Science_Learning_path Details | 00:00:00 | ||
| Python ML Session 1 Video 7 Course_Curriculum Details | 00:00:00 | ||
| Python ML Session 1 Video 8 Colab_notebook_Creation Details | 00:00:00 | ||
| Python ML Session 1 Video 9 Working_with_Colab_notebook Details | 00:00:00 | ||
| Session 2 Python Introduction 20-09-2020 | |||
| Python ML Session 2 Video 1 Python_Introduction Details | 00:00:00 | ||
| Python ML Session 2 Video 2 Colab_File Details | 00:00:00 | ||
| Python ML Session 2 Video 3 Numbers_Strings Details | 00:00:00 | ||
| Python ML Session 2 Video 4 Numpy Details | 00:00:00 | ||
| Python ML Session 2 Video 5 Pandas Details | 00:00:00 | ||
| Python ML Session 2 Video 6 Sk_learn Details | 00:00:00 | ||
| Python ML Session 2 Video 7 NLtk_TF Details | 00:00:00 | ||
| Python ML Session 2 Video 8 Basic_Commands_on_Data Details | 00:00:00 | ||
| Python ML Session 2 Video 9 Subset_Filter Details | 00:00:00 | ||
| Python ML Session 2 Video 10 Assignment Details | 00:00:00 | ||
| Session 3 Basic Statistics | |||
| Python ML Session 4 Video 1 Mean and Median Details | 00:00:00 | ||
| Python ML Session 4 Video 2 Var_and_SD Details | 00:00:00 | ||
| Python ML Session 4 Video 3 Percentiles_outliers_Box_plots Details | 00:00:00 | ||
| Python ML Session 4 Video 4 Data Visualization_part1 Details | 00:00:00 | ||
| Python ML Session 4 Video 5 Data Visualization_part2 Details | 00:00:00 | ||
| Session 4 Python Intermediate 1 | |||
| Python ML Session 4 Video 1 Basic_Commands_And_Objects Details | 00:00:00 | ||
| Python ML Session 4 Video 2 Working_With_Objects Details | 00:00:00 | ||
| Session 5 Pandas | |||
| Python ML Session 5 Video 1 Pandas_Part1 Details | 00:00:00 | ||
| Python ML Session 5 Video 2 Pandas_Part2 Details | 00:00:00 | ||
| Session 6 Data Visualization | |||
| Python ML Session 6 Video 1 Types_Of_variables Details | 00:00:00 | ||
| Python ML Session 6 Video 2 Continuous_Variables_Visualization Details | 00:00:00 | ||
| Python ML Session 6 Video 3 Rossmann Store Sales_Data Details | 00:00:00 | ||
| Python ML Session 6 Video 4 Categorical_var_Viz Details | 00:00:00 | ||
| Python ML Session 6 Video 5 Continuous_vs_Continuous Details | 00:00:00 | ||
| Python ML Session 6 Video 6 Continuous_vs_Categorical Details | 00:00:00 | ||
| Python ML Session 6 Video 7 Categorical_vs_Categorical Details | 00:00:00 | ||
| Python ML Session 6 Video 8 Conclusion Details | 00:00:00 | ||
| Session 7 Data Cleaning | |||
| PYTHON ML SESSION 7 VIDEO 1 Model_Building_Steps Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 2 The_Raw_Data Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 3 Data_Dictionary Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 4 Basic_Contents_of_Data Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 5 Categorical_Variables Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 6 Continuous_variables Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 7 Overall_Issues Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 8 Imputation Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 9 Imputation_based_on_target Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 10 Flooring_Capping Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 11 Impuete_And_Indicator Details | 00:00:00 | ||
| PYTHON ML SESSION 7 VIDEO 12 Assignment Details | 00:00:00 | ||
| Session 8 Assignment discussion | |||
| PYTHON ML ASSIGNMENT SESSION VIDEO 1 Details | 00:00:00 | ||
| PYTHON ML ASSIGNMENT SESSION VIDEO 2 Details | 00:00:00 | ||
| Session 9 Regression Analysis | |||
| PYTHON ML SESSION 9 VIDEO 1 What_is_Correlation Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 2 Correlation_Calculation Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 3 What_is_Regression Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 4 Regression_Line_Fitting Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 5 Regression_in_Python Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 6 R_Squared Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 7 Multiple_Regression Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 8 Individual_impact_of_variables Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 9 Regression_Analysis Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 10 Multicollinearity Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 11 VIF Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 12 Steps_In_Building_Regression_Model Details | 00:00:00 | ||
| PYTHON ML SESSION 9 VIDEO 13 Assignment Details | 00:00:00 | ||
| Session 10 Logistic Regression | |||
| PYTHON ML SESSION 10 VIDEO 1 Linear_Regression Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 2 Linear_Regression_Issues Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 2 QandA Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 3 Logistic_Regression Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 4 Logistic_Reg_Examples Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 4 QandA Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 5 Multiple_Logistic_Reg_Line Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 6 Confusion_Matrix_Accuracy Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 7 Multicollinearity Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 8 Individual_Impact Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 9 Rank_ordering Details | 00:00:00 | ||
| PYTHON ML SESSION 10 VIDEO 10 Steps_In_Building_Logistic_Reg_line Details | 00:00:00 | ||
| SESSION 11 ASSIGNMENT 3 DISCUSSION | |||
| PYTHON ML SESSION 11 VIDEO 1 datacleaning part1 Details | 00:00:00 | ||
| PYTHON ML SESSION 11 VIDEO 2 datacleaning part2 Details | 00:00:00 | ||
| SESSION 12 DECISION TREES | |||
| PYTHON ML SESSION 12 VIDEO 1 Decision_Tree_introduction Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 2 Decision_tree_phylosophy Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 3 QandA Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 4 Variable_Selection Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 5 Entropy Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 6 Information_Gain Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 7 Decision_tree_Algorithm Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 8 QandA Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 9 DT_Model_Building Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 10 Decision_Tree_Output Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 11 QandA Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 12 Tree_Validation Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 13 Overfitting Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 14 Pruning Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 15 Underfitting Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 16 Finetuning_parameters Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 17 Steps_in_Building_DT_Model Details | 00:00:00 | ||
| PYTHON ML SESSION 12 VIDEO 18 LogisticReg_vs_DT Details | 00:00:00 | ||
| SESSION 13 ASSIGNMENT 5 DISCUSSION | |||
| PYHTON ML SESSION 13 Regression_Carpricing_p1 & p2 Details | 00:00:00 | ||
| SESSION 14 ASSIGNMENT 6 Logistic_Credit_Risk_Modeling | |||
| Assignment6_Logistic_Credit_Risk_Modeling Details | 00:00:00 | ||
| SESSION 15 MODEL SELECTION | |||
| MODEL SELECTION VIDEOS 1-4 Details | 00:00:00 | ||
| MODEL SELECTION VIDEOS 5-8 Details | 00:00:00 | ||
| MODEL SELECTION VIDEOS 9-12 Details | 00:00:00 | ||
| SESSION 16 FUTURE ENGINEERING | |||
| FUTURE ENGINEERING VIDEOS 1-4 Details | 00:00:00 | ||
| FUTURE ENGINEERING VIDEOS 5-7 Details | 00:00:00 | ||
| SESSION 17 RANDOM FOREST | |||
| RANDOM FOREST 1-4 Details | 00:00:00 | ||
| RANDOM FOREST 5-8 Details | 00:00:00 | ||
| Video9_How_to_Finetune_HyperPararameters Details | 00:00:00 | ||
| SESSION 18 GRADIENT BOOSTING | |||
| GRADIENT BOOSTING 1-4 Details | 00:00:00 | ||
| Video5_Boosting_Conclusion Details | 00:00:00 | ||
| SESSION 19 NLP DATA PRE-PROCESSING | |||
| NLP DATA PRE-PROCESSING 1-4 Details | 00:00:00 | ||
| NLP DATA PRE-PROCESSING 5-8 Details | 00:00:00 | ||
| NLP DATA PRE-PROCESSING 9-12 Details | 00:00:00 | ||
| Video13_DTM Details | 00:00:00 | ||
| SESSION 20 NLP SENTIMENT ANALYSIS | |||
| NLP SENTIMENT ANALYSIS VIDEOS 1-4 Details | 00:00:00 | ||
| SESSION 21 ASSIGNMENT 7 DECISION TREE | |||
| Assignment_7_Decisiontreediscussion Details | 00:00:00 | ||
| SESSION 22 ASSIGNMENT 8 FUTURE ENGINEERING | |||
| ASSIGNMENT 8-FUTURE ENGINEERING VIDEOS 1-4 Details | 00:00:00 | ||
| ASSIGNMENT 8-FUTURE ENGINEERING VIDEOS 5-8 Details | 00:00:00 | ||
| SESSION 23 ANN | |||
| Python ML Session 21 Video 1 ANN_Introduction Details | 00:00:00 | ||
| Python ML Session 21 Video 2 Logistic_Reg Details | 00:00:00 | ||
| Python ML Session 21 Video 3 Decision_Boundary Details | 00:00:00 | ||
| Python ML Session 21 Video 4 Network_Representation_Logistic Details | 00:00:00 | ||
| Python ML Session 21 Video 5 Multiple_Decision_Boundaries Details | 00:00:00 | ||
| Python ML Session 21 Video 6 Intermediate_Outputs Details | 00:00:00 | ||
| Python ML Session 21 Video 7 Neural_network_Intution Details | 00:00:00 | ||
| Python ML Session 21 Video 8 Neural_Network_input Details | 00:00:00 | ||
| Python ML Session 21 Video 9 Neural_Network_Algorithm Details | 00:00:00 | ||
| Python ML Session 21 Video 10 Example_Neural_Network_Algorithm Details | 00:00:00 | ||
| Python ML Session 21 Video 11 Multiple_Solutions Details | 00:00:00 | ||
| Python ML Session 21 Video 12 Case_Study_part1 Details | 00:00:00 | ||
| Python ML Session 21 Video 13 Case_Study_part2 Details | 00:00:00 | ||
| Python ML Session 21 Video 14 Deep_Learning Details | 00:00:00 | ||
| Python ML Session 21 Video 15 Deep_Learning_Algorithms Details | 00:00:00 | ||
| SESSION 24 TensorFlow AND Keras | |||
| PYTHON ML SESSION 22 VIDEO 1 TensorFlow Details | 00:00:00 | ||
| PYTHON SESSION 22 CLASS 2 How_TensorFlow_works Details | 00:00:00 | ||
| PYTHON ML SESSION 22 VIDEO 3 Tensors_Computational_graphs Details | 00:00:00 | ||
| PYTHON ML SESSION 22 VIDEO 4 Coding_in_TensorFlow Details | 00:00:00 | ||
| PYTHON ML SESSION 22 VIDEO 5 Keras Details | 00:00:00 | ||
| PYTHON ML SESSION 22 VIDEO 6 ANN_on_Keras Details | 00:00:00 | ||
| PYTHON ML SESSION 22 VIDEO 7 Keras_Conclusion Details | 00:00:00 | ||
| SESSION 25 ASSIGNMENT 10 DISCUSSION | |||
| PART 1 NY TAXI FARE RF AND BOOSTING Details | 00:00:00 | ||
| PART 2 R_SQUARE ERROR IN XGB Details | 00:00:00 | ||
| SESSION 25 RNN and LSTM | |||
| Video1 Sequential Data Details | 00:00:00 | ||
| Video2 ANN and CNN for Sequential Data Details | 00:00:00 | ||
| Video3 Sequential ANN Details | 00:00:00 | ||
| Video4 Sequential ANN Lab Data Details | 00:00:00 | ||
| Video5 Building Sequential ANN Models Details | 00:00:00 | ||
| Video6 RNNs Details | 00:00:00 | ||
| Video7 Building RNN Models Details | 00:00:00 | ||
| Video8 RNN Issues Details | 00:00:00 | ||
| Video9 LSTM Details | 00:00:00 | ||
| Video10 LSTM Models Details | 00:00:00 | ||
| Video11 LSTM Code Details | 00:00:00 | ||
| Video12 Conclusion Details | 00:00:00 | ||
