Complete Machine Learning In 6 Hours| Krish Naik
All the materials are available in the below link https://ift.tt/cN0hAzi Time Stamp: 00:00:00 Introduction 00:01:25 AI Vs ML vs DL vs Data Science 00:07:56 Machine LEarning and Deep Learning 00:09:05 Regression And Classification 00:18:14 Linear Regression Algorithm 01:07:14 Ridge And Lasso Regression Algorithms 01:33:08 Logistic Regression Algorithm 02:13:52 Linear Regression Practical Implementation 02:28:30 Ridge And Lasso Regression Practical Implementation 02:54:21 Naive Baye's Algorithms 03:16:02 KNN Algorithm Intuition 03:23:47 Decision Tree Classification Algorithms 03:57:05 Decision Tree Regression Algorithms 04:02:57 Practical Implementation Of Deicsion Tree Classifier 04:09:14 Ensemble Bagging And Bossting Techniques 04:21:29 Random Forest Classifier And Regressor 04:29:58 Boosting, Adaboost Machine Learning Algorithms 04:47:30 K Means Clustering Algorithm 05:01:54 Hierarichal Clustering Algorithms 05:11:28 Silhoutte Clustering- Validating Clusters 05:17:46 Dbscan Clustering Algorithms 05:25:57 Clustering Practical Examples 05:35:51 Bias And Variance Algorithms 05:43:44 Xgboost Classifier Algorithms 06:00:00 Xgboost Regressor Algorithms 06:19:04 SVM Algorithm Machine LEarning Algorithm
via YouTube https://www.youtube.com/watch?v=JxgmHe2NyeY
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