Random Forest in Python using Scikit-Learn | Tutorial (Part 1/3)
How to create 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/02_trxn_pred_rf_basics.ipynb
Code on Kaggle: https://www.kaggle.com/harsh1kumar/santander-trxn-pred-rf-basics
Timestamp:
00:00 - Introduction
00:35 - Import libraries & read data
01:26 - Split data into train and validation data
02:17 - Create Random Forest model & evaluate
04:14 - Understanding probability of prediction
09:26 - Plot model performance w.r.t trees
11:20 - Create the final Random Forest model
Видео Random Forest in Python using Scikit-Learn | Tutorial (Part 1/3) канала Harsh Kumar
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/02_trxn_pred_rf_basics.ipynb
Code on Kaggle: https://www.kaggle.com/harsh1kumar/santander-trxn-pred-rf-basics
Timestamp:
00:00 - Introduction
00:35 - Import libraries & read data
01:26 - Split data into train and validation data
02:17 - Create Random Forest model & evaluate
04:14 - Understanding probability of prediction
09:26 - Plot model performance w.r.t trees
11:20 - Create the final Random Forest model
Видео Random Forest in Python using Scikit-Learn | Tutorial (Part 1/3) канала Harsh Kumar
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