Introduction to Machine Learning

Course Overview

Learn the basic concepts of machine learning and train your first model using Python.

Prerequisite: Introduction to Python for Data Science

Learning Outcomes

By the end of this course, you will be able to:

1. Understand core machine learning concepts
2. Use the scikit-learn library
3. Prepare data for model training
4. Train classification and regression models
5. Evaluate model performance

Topics Covered

• Core concepts: supervised vs. unsupervised learning (4 hours)
• Introduction to the scikit-learn library (4 hours)
• Preparing data for model training (5 hours)
• Training a classification or regression model (5 hours)
• Evaluating model performance (2 hours)