Building a Random Forest Classifier in Python - Machine Learning Tutorial and Full Beginner’s Guide

Veröffentlicht am: 21 November 2021
auf dem Kanal: EmpowerCode

507

In less than ten minutes, learn how to code the Random Forest Machine Learning Algorithm from scratch with Sklearn. A full beginner's guide and step-by-step programming tutorial.

The Kaggle Dataset used in this video can be found here: https://www.kaggle.com/uciml/iris.
The GitHub Script containing the Jupyter Notebook we worked on can be found here: https://github.com/Rohak72/Machine-Le....

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🕘Timestamps:
0:00 Intro
0:22 Data Pre-Processing and Cleaning
2:53 Training our Random Forest Classifier!
4:17 Gaging Model Accuracy
4:39 Finding Ways to Improve Accuracy
7:03 Visualizing the Random Forest
8:28 Outro

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