Random Forest Hyperparameter Tuning using GridSearchCV | Machine Learning Tutorial
Channel: Kunaal Naik | Data Science Masterminds
Date: 2020-07-16

Getting 100% Train Accuracy when using sklearn Randon Forest model? You are most likely prey of overfitting! In this video, you will learn how to use Random Forest by optimising the hyperparameter or parameters. We will be using GridSearchCV for tuning the parameters due to its speed. 
By tuning you are most likely to avoid overfitting using Randon Forest.

Kaggle Kernel Link: https://www.kaggle.com/funxexcel/p2-random-forest-tuning-gridsearchcv