How to Implement Random Forest For Multi-Class Classification | Scikit Learn Tutorial скачать в хорошем качестве

How to Implement Random Forest For Multi-Class Classification | Scikit Learn Tutorial

In this video I give a step-by-step tutorial on how to use scikit-learn's random forest classification model for multi-class classification. The video contains an explanation of multi-class classification, random forest model, training for random forest, importance of train/val/test split, and hyperparameter tuning. CHAPTERS: 00:00 Intro 00:20 Multi-Class Classification Overview 01:34 Random Forest Overview 02:53 Dataset Intro and Preprocessing 06:13 Train, Validation, Test Split 10:00 Variable Encoding 12:29 Initial Model Building 15:01 Hyperparameter Tuning (GridSearchCV) 20:25 Final Model Performance 21:41 Feature Importance If you found this helpful, like & subscribe for more data science tutorials! #machinelearning #datascience #randomforest