Decision Trees Courses and Certifications

Decision Tree Modeling Using R Certification Training

Build classification and regression trees in R: design and treat data for modeling, apply CHAID and auto pruning, and validate trees for industry use.

• Edureka
• Self-Paced
• Paid Course

CART - Classification and Regression Trees

Explains CART decision and regression trees, including feature selection, missing data, pruning, and a complete Python implementation.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

StatQuest with Josh Starmer

Classification Trees in Python from Start to Finish

Build and optimize a heart disease classification tree in Python using missing-data handling, one-hot encoding, and cost-complexity pruning.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

StatQuest with Josh Starmer

Regression Trees, Clearly Explained

Explains how regression trees model nonlinear relationships by choosing data-splitting thresholds that minimize squared residuals.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Great Learning

Decision Tree Algorithm Tutorial - Machine Learning and Example

Learn how decision trees use splitting criteria such as entropy and Gini index for classification and regression, with a gold-loan attrition case study.

• YouTube
• 1 hour 58 minutes
• Self-Paced
• Free Video

Julia Silge

Tune and Evaluate a Decision Tree Model with Scooby Doo Episodes

Tune a decision tree on Scooby-Doo episode data, choose a simpler model within performance criteria, and visualize how it separates real from fake monsters.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Great Learning

Supervised Machine Learning with Tree-Based Models

Learn supervised classification and regression with decision trees and random forests, including Python implementations and a COVID-19 data demonstration.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

The Julia Programming Language

Symbolic AI Workflows with Sole.jl - JuliaCon 2024

Explore Sole.jl: A pioneering framework for symbolic AI workflows, focusing on transparent alternatives to black-box AI algorithms and emphasizing knowledge representation through syntax trees.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning Fundamentals - Lecture 2

Dive into machine learning fundamentals with a comprehensive exploration of decision trees, data classification techniques, and algorithmic approaches to pattern recognition.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

UofU Data Science

Decision Tree Learning Algorithm and Practical Applications - Lecture 4

Dive into advanced decision tree learning algorithms and explore practical implementation challenges in machine learning applications.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Decision Trees and Ensemble Methods

Learn how decision trees evolve into ensemble models through CART, bagging, random forests, boosting, and implementations with scikit-learn, XGBoost, LightGBM, and CatBoost.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

Supervised Learning in R: Regression

105 ratings at DataCamp

From a machine learning perspective, regression is the task of predicting numerical outcomes from various inputs.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Credit Risk Modeling in R

88 ratings at DataCamp

This hands-on-course with real-life credit data will teach you how to model credit risk by using logistic regression and decision trees in R.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

HR Analytics: Predicting Employee Churn in Python

45 ratings at DataCamp

Among all of the business domains, HR is still the least disrupted.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Classification Models

9 ratings at Udacity

Learn how to use classification predictive models to solve business problems involving non-numeric data.

• Udacity
• 5 hours
• Self-Paced
• Free Online Course