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
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