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
4.38 (1011 reviews)
Udemy
platform
English
language
Data & Analytics
category
Decision Trees, Random Forests, AdaBoost & XGBoost in Python
128 842
students
7.5 hours
content
May 2025
last update
$99.99
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

Charts

Students
Price
Rating & Reviews
Coupons Issued
Enrollment Distribution
2400996
udemy ID
06/06/2019
course created date
20/11/2019
course indexed date
Bot
course submited by