Random forests with Python & Scikit-Learn Machine Learning

"Learning Random Forest Models with Python and Scikit-Learn"
2.50 (1 reviews)
Udemy
platform
English
language
Data Science
category
Amine Baïna
instructor
Random forests with Python & Scikit-Learn Machine Learning
378
students
31 mins
content
Jan 2025
last update
FREE
regular price

What you will learn

Learn how this ensemble method combines multiple decision trees to enhance performance in classification and regression tasks.

Build and Train Models: Gain hands-on experience creating Random Forest models and understand the impact of randomness in bootstrapping and feature selection.

Feature Importance Analysis: Discover how to interpret your models by analyzing feature importance and making data-driven decisions.

Handle Overfitting: Learn techniques like parameter tuning (e.g., n_estimators, max_depth, max_features) to balance model complexity and performance.

Screenshots

Random forests with Python & Scikit-Learn Machine Learning - Screenshot_01Random forests with Python & Scikit-Learn Machine Learning - Screenshot_02Random forests with Python & Scikit-Learn Machine Learning - Screenshot_03Random forests with Python & Scikit-Learn Machine Learning - Screenshot_04
6411841
udemy ID
1/20/2025
course created date
1/31/2025
course indexed date
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