Machine Learning Basics

• YouTube: Machine Learning course by freeCodeCamp
• YouTube: Machine Learning Crash Course by Google Developers
• Course: Machine Learning by Andrew Ng (Coursera)
• Article: Datacamp
• Book: "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
• GitHub Repo: Code Examples for "Hands-On Machine Learning"

Supervised Learning

• YouTube: Supervised Learning Explained by StatQuest
• YouTube: Supervised Learning Tutorials by Sentdex
• YouTube: Supervised Learning Tutorials by Simply learn
• Article: Scikit-Learn Supervised Learning Documentation
• Book: "Pattern Classification" by Richard O. Duda et al.
• GitHub Repo: Python Machine Learning Book Code Examples

Unsupervised Learning

• YouTube: Unsupervised Learning Explained by StatQuest
• YouTube: Unsupervised Learning Explained by CrashCourse
• Article: Scikit-Learn Clustering Documentation

Model Evaluation

• YouTube: Model Evaluation Metrics by StatQuest
• YouTube: Cross-Validation Explained by StatQuest
• Article: Scikit-Learn Model Evaluation Documentation
• Book: "Evaluating Machine Learning Models" by Alice Zheng
• GitHub Repo: Scikit-Learn Videos and Code Examples

Feature Engineering

• YouTube: Feature Selection Techniques by Krish Naik
• Article: Towards Data Science - Feature Engineering Guide
• Article: Scikit-Learn Preprocessing Documentation
• Book: "Evaluating Machine Learning Models" by Alice Zheng
• Book: "Python Feature Engineering Cookbook" by Soledad Galli
• GitHub Repo: feature-engineering-book by alicezheng