Machine Learning Foundations

• Level: Beginner to Intermediate
• Duration: 8 weeks
• Category: Artificial Intelligence

Understand how models learn from data and build them with scikit-learn: regression, classification, clustering and honest model evaluation.

What you will learn

• Turn a real problem into a machine learning task
• Prepare data and engineer useful features
• Train, tune and compare regression and classification models
• Choose the right metrics and avoid overfitting
• Present an end-to-end machine learning project

Topics covered

• Machine learning basics
• Data preparation
• Feature engineering
• Linear regression
• Logistic regression
• Decision trees
• Random forests
• Clustering
• Model evaluation
• Cross-validation
• scikit-learn
• Capstone project