Decision Trees, Random Forests, AdaBoost & XGBoost in Python

Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python
4.36 (1003 reviews)
Udemy
platform
English
language
Data & Analytics
category
Decision Trees, Random Forests, AdaBoost & XGBoost in Python
127,797
students
7.5 hours
content
Feb 2025
last update
$94.99
regular price

What you will learn

Get a solid understanding of decision tree

Understand the business scenarios where decision tree is applicable

Tune a machine learning model's hyperparameters and evaluate its performance.

Use Pandas DataFrames to manipulate data and make statistical computations.

Use decision trees to make predictions

Learn the advantage and disadvantages of the different algorithms

2400996
udemy ID
6/6/2019
course created date
11/20/2019
course indexed date
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