Python ML Venkat Sir Batch 202008
16 STUDENTS ENROLLED
Course Curriculum
Session 1 | |||
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 ML Session 2 Video 1 Python_History_and_IDEs Details | 00:00:00 | ||
Python ML Session 2 Video 2 Basic_Commands_Data_types_and_Important_packages Details | 00:00:00 | ||
Python ML Session 2 Video 3 Pandas_Data_handling_and_Filtering Details | 00:00:00 | ||
Session 3- Assignment 1 | |||
Python ML Assignment 1 _ First 10_Questions Details | 00:00:00 | ||
Assignment 1_10_20_Questions Details | 00:00:00 | ||
Session 4 15-08-2020 | |||
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 5 16-08-2020 | |||
Python ML Session 5 Video 1 Model_building_Stages Details | 00:00:00 | ||
Python ML Session 5 Video 2 Discrete_Categrical_variable_Exploration Details | 00:00:00 | ||
Python ML Session 5 Video 3 Continuous_Variable_Exploration Details | 00:00:00 | ||
Python ML Session 5 Video 4 Data_Cleaning_Steps Details | 00:00:00 | ||
Session 6 Assignment-3 | |||
Python ML Session 6 Python_Data_manipulations Details | 00:00:00 | ||
Python ML Session 6 Data_Cleaning_Credit_Risk Details | 00:00:00 | ||
Session 7 23-08-2020 | |||
Python ML Session 7 Video 1 Correlation Details | 00:00:00 | ||
Python ML Session 7 Video 2 What_is_Regression Details | 00:00:00 | ||
Python ML Session 7 Video 3 OLS Details | 00:00:00 | ||
Python ML Session 7 Video 4 R_Squared Details | 00:00:00 | ||
Python ML Session 7 Video 5 Multiple_Regression Details | 00:00:00 | ||
Python ML Session 7 Video 6 Pvalue Details | 00:00:00 | ||
Python ML Session 7 Video 7 Adjusted_RSquare Details | 00:00:00 | ||
Python ML Session 7 Video 8 Multicollinearity Details | 00:00:00 | ||
Python ML Session 7 Video 9 Steps_in_Building_RegModel Details | 00:00:00 | ||
Python ML Session 7 Video 10 Pricing_Assgnment Details | 00:00:00 | ||
Section 8 26-08-2020 | |||
Python ML Session 8 Video 1 When_Linear_reg_Fails Details | 00:00:00 | ||
Python ML Session 8 Video 2 What_is_Logistic_reg Details | 00:00:00 | ||
Python ML Session 8 Video 3 Multiple_Logistic_Reg Details | 00:00:00 | ||
Python ML Session 8 Video 4 Confusion_matrix_Accuracy Details | 00:00:00 | ||
Python ML Session 8 Video 5 VIF_PValue Details | 00:00:00 | ||
Python ML Session 8 Video 6 Steps_in_building_logistic_Reg_line Details | 00:00:00 | ||
Python ML Session 8 Video 7 Assignment_Questions Details | 00:00:00 | ||
Session 9 Assignment-4 | |||
Python ML Session 9 Discussion Linear Regression Details | 00:00:00 | ||
Session 10 29-08-2020 | |||
Python ML Session 10 Video 1 Decision_tree_philosophy Details | 00:00:00 | ||
Python ML Session 10 Video2_Information_Gain Details | 00:00:00 | ||
Python ML Session 10 Video3_Decision_Tree_Algorithm Details | 00:00:00 | ||
Python ML Session 10 Video4_Tree_Model_building Details | 00:00:00 | ||
Python ML Session 10 Video5_Tree_model_Result Details | 00:00:00 | ||
Python ML Session 10 Video 6_Predictions_Confusion_matrix Details | 00:00:00 | ||
Python ML Session 10 Video 7_Overfitting Details | 00:00:00 | ||
Python ML Session 10 Video 8_Pruning Details | 00:00:00 | ||
Python ML Session 10 Video 9_Underfitting Details | 00:00:00 | ||
Python ML Session 10 Video 10_Fine_tuning_parameters Details | 00:00:00 | ||
Python ML Session 10 Video 11_Steps_in_building_DT_model Details | 00:00:00 | ||
Python ML Session 10 Video 12_Diff_logistic_vs_DT Details | 00:00:00 | ||
Session 11 30-08-2020 | |||
Python ML Session 11 Video 1 MAD_MAPE_Sensitivity_Specificity(1) Details | 00:00:00 | ||
Python ML Session 11 Video 2 MAD_MAPE_Sensitivity_Specificity(2) Details | 00:00:00 | ||
Python ML Session 11 Video 3 Recall_Precision_F1Score Details | 00:00:00 | ||
Python ML Session 11 Video 4 ROC_AUC Details | 00:00:00 | ||
Python ML Session 11 Video 5 Over_Under_Sampling Details | 00:00:00 | ||
Python ML Session 11 Video 6 Bias_Variance_Tradeoff Details | 00:00:00 | ||
Python ML Session 11 Video 7 TenFold_Cross_Validation Details | 00:00:00 | ||
Python ML Session 11 Video 8 Conclusion Details | 00:00:00 | ||
Session 12 02-09-2020 | |||
Python ML Session 12 Video 1 What_is_Feature_Engg Details | 00:00:00 | ||
Python ML Session 12 Video 2 Handling_dates Details | 00:00:00 | ||
Python ML Session 12 Video 3 Handling_Lat_long Details | 00:00:00 | ||
Python ML Session 12 Video 4 Transformations Details | 00:00:00 | ||
Python ML Session 12 Video 5 One_hot_encoding Details | 00:00:00 | ||
Session 13 05-09-2020 | |||
Python ML Session 13 Video 1 Supervised_UnSupervised_learning Details | 00:00:00 | ||
Python ML Session 13 Video 2 Dis_similarity_Distance_matrix Details | 00:00:00 | ||
Python ML Session 13 Video 3 Distnace_matrix_Calculation Details | 00:00:00 | ||
Python ML Session 13 Video 4 KMeans_Cluster_Algorithm Details | 00:00:00 | ||
Python ML Session 13 Video 5 KMeans_Model_Building Details | 00:00:00 | ||
Python ML Session 13 Video 6 DisAdvantages_Cluster_Analysis Details | 00:00:00 | ||
Session 14 05-09-2020 | |||
Python ML Session 14 Video 1 Ensemble_Learning Details | 00:00:00 | ||
Python ML Session 14 Video 2 Bagging Details | 00:00:00 | ||
Python ML Session 14 Video 3 Bagging_Algorithm Details | 00:00:00 | ||
Python ML Session 14 Video 4 RandomForest_Algorithm Details | 00:00:00 | ||
Python ML Session 14 Video 5 Why_RandomForest_Works Details | 00:00:00 | ||
Python ML Session 14 Video 6 Building_RandomForest_Model Details | 00:00:00 | ||
Session 15 06-09-2020 | |||
Python ML Session 15 Video 1 Ada_Boosting_Algorithm Details | 00:00:00 | ||
Python ML Session 15 Video 2 Gradient_boosting_Algorithm Details | 00:00:00 | ||
Python ML Session 15 Video 3 LearningRate Details | 00:00:00 | ||
Python ML Session 15 Video 4 GBM_Hyperparameters Details | 00:00:00 | ||
Python ML Session 15 Video 5 Building_GBM_model Details | 00:00:00 | ||
Python ML Session 15 Video 6 XGB_Model_building Details | 00:00:00 | ||
Session 16 Logistic Regression Assignment | |||
Logistic Regression Assignment 6 Discussion Details | 00:00:00 | ||
Session 17 Job Resume Interview Resources | |||
Python ML Session 17 Video1_Overall_Approach Details | 00:00:00 | ||
Python ML Session 17 Video2_Resources Details | 00:00:00 | ||
Python ML Session 17 Video3_CV Details | 00:00:00 | ||
Python ML Session 17 Video4_Maximize_Interview_Calls Details | 00:00:00 | ||
Python ML Session 17 Video5_Interview_Questions Details | 00:00:00 | ||
Session 18 Decision Tree Assignment | |||
Python ML Session 18 Decision Tree Assignment Details | 00:00:00 | ||
Session 19 NLP_Pre_processing | |||
Python ML Session 19 Video 1 What_is_NLP Details | 00:00:00 | ||
Python ML Session 19 Video 2 Two_Steps_in_NLP Details | 00:00:00 | ||
Python ML Session 19 Video 3 NLP_Packages Details | 00:00:00 | ||
Python ML Session 19 Video 4 What_is_Pre_processing Details | 00:00:00 | ||
Python ML Session 19 Video 5 Data_Importing Details | 00:00:00 | ||
Python ML Session 19 Video 6 Tokenizing Details | 00:00:00 | ||
Python ML Session 19 Video 7 Expanson Details | 00:00:00 | ||
Python ML Session 19 Video 8 Stopwords_Removal Details | 00:00:00 | ||
Python ML Session 19 Video 9 Regular_Expressions Details | 00:00:00 | ||
Python ML Session 19 Video 10 Spelling_Correction Details | 00:00:00 | ||
Python ML Session 19 Video 11 lemmatization Details | 00:00:00 | ||
Python ML Session 19 Video 12 Word_Cloud Details | 00:00:00 | ||
Session 20 Sentiment Analysis | |||
Python ML Session 20 Video 1 Single_Pre_processing_Function Details | 00:00:00 | ||
Python ML Session 20 Video 2 DTM Details | 00:00:00 | ||
Python ML Session 20 Video 3 What_is_Sentiment_Analysis Details | 00:00:00 | ||
Python ML Session 20 Video 4 Data Details | 00:00:00 | ||
Python ML Session 20 Video 5 Bayes_method Details | 00:00:00 | ||
Python ML Session 20 Video 6 How_Bayes_Works_For_Text Details | 00:00:00 | ||
Python ML Session 20 Video 7 How_to_build_Bayes_Model Details | 00:00:00 | ||
Python ML Session 20 Video 8 Predictions Details | 00:00:00 | ||
Python ML Session 20 Video 9 Amazon_and_Yelp_data Details | 00:00:00 | ||
Python ML Session 20 Video 10 Model_Building_Parameters_Finetuning Details | 00:00:00 | ||
Python ML Session 20 Video 11 Conclusion Details | 00:00:00 | ||
Session 21 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 22 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 23 Word2Vec | |||
PYTHON ML SESSION 23 VIDEO 1 Need_of_Word2Vec Details | 00:00:00 | ||
PYTHON ML SESSION 23 VIDEO 2 One_hot_encoding Details | 00:00:00 | ||
PYTHON ML SESSION 23 VIDEO 3 Context Details | 00:00:00 | ||
PYTHON ML SESSION 23 VIDEO 4 Word2Vec_technique Details | 00:00:00 | ||
PYTHON ML SESSION 23 VIDEO 5 Word2Vec_Model Details | 00:00:00 | ||
PYTHON ML SESSION 23 VIDEO 6 Gensim Details | 00:00:00 | ||
PYTHON ML SESSION 23 VIDEO 7 Google_word2Vec Details | 00:00:00 | ||
Session 24 Assignment Discussion-New York Taxi Pricing | |||
PYTHON ML SESSION 24 VIDEO 1 Data_Importing Details | 00:00:00 | ||
PYTHON ML SESSION 24 VIDEO 2 Basic_Details Details | 00:00:00 | ||
PYTHON ML SESSION 24 VIDEO 3 Basic_Model Details | 00:00:00 | ||
PYTHON ML SESSION 24 VIDEO 4 Date_time_vars Details | 00:00:00 | ||
PYTHON ML SESSION 24 VIDEO 5 Airport_Indicator Details | 00:00:00 | ||
PYTHON ML SESSION 24 VIDEO 6 trip_distance Details | 00:00:00 | ||
PYTHON ML SESSION 24 VIDEO 7 One_hot_Encoding Details | 00:00:00 | ||
Session 25 ANN HYPERPARAMETERS | |||
PYTHON ML SESSION 25 VIDEO 1 Regularization Details | 00:00:00 | ||
PYTHON ML SESSION 25 VIDEO 2 L1_L2_Regularization Details | 00:00:00 | ||
PYTHON ML SESSION 25 VIDEO 3 DropOut_Regularization Details | 00:00:00 | ||
PYTHON ML SESSION 25 VIDEO 4 Activation_Functions Details | 00:00:00 | ||
PYTHON ML SESSION 25 VIDEO 5 ReLu Details | 00:00:00 | ||
PYTHON ML SESSION 25 VIDEO 6 Softmax Details | 00:00:00 | ||
SESSION 26 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 27 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 |