Hyper Parameter Tuning for Random Forest in Python | Tutorial (Part 2/3)

How to tune hyperparameters of a Random Forest Model in Python using Scikit Learn. The tutorial will provide a step-by-step guide for this.

Problem Statement from Kaggle: https://www.kaggle.com/c/santander-customer-transaction-prediction/

Code on Github: https://github.com/harsh1kumar/learning/blob/master/machine_learning/santander_trxn_prediction/03_trxn_pred_rf_hp_tuning.ipynb
Code on Kaggle: https://www.kaggle.com/harsh1kumar/santander-trxn-pred-rf-hp-tune

Timestamp:
00:00​ - Introduction
00:47 - Import libraries & read data
01:40 - RandomizedSearchCV
06:54 - GridSearchCV
08:29​ - Create the final model

Видео Hyper Parameter Tuning for Random Forest in Python | Tutorial (Part 2/3) канала Harsh Kumar