Machine Learning with scikit-learn

Overview

This course takes you from a clean dataset to a tuned, evaluated machine learning model. You'll build classification and regression models, learn how to validate them properly with cross-validation, and tune hyperparameters with grid search — while avoiding common pitfalls like data leakage and overfitting along the way.

What you'll learn

• Build classification and regression models
• Evaluate models with cross-validation and metrics
• Tune hyperparameters with grid search
• Avoid common pitfalls like data leakage and overfitting

Prerequisites

• Python for Data Analysis or equivalent experience
• Basic statistics