Introduction to Machine Learning

A comprehensive introduction to machine learning covering supervised and unsupervised learning, key algorithms (linear regression, decision trees, SVMs, neural networks), model evaluation, feature engineering, and the end-to-end ML workflow with Python and Scikit-Learn.

What you'll cover

• What is Machine Learning
• Supervised Learning
• Unsupervised Learning
• Linear and Logistic Regression
• Decision Trees and Random Forests
• Support Vector Machines