Getting Started with Machine Learning using Python | HandsOn
Build, evaluate, and refine practical machine learning models with Python
Explore the essentials of machine learning by building and evaluating real models with Python. You will learn how to prepare data, train models, assess performance, and apply responsible AI practices. Each section guides you through practical steps to develop skills you can use right away.
Packt | Aug 2026 | 122 min
What You Will Learn
You will start by learning key machine learning concepts, then move into hands-on Python demonstrations that show each step of the workflow. Guided examples help you connect theory to practice, and a capstone project brings together everything you have learned in a real-world scenario.
Key Features
- Build and evaluate regression, classification, and clustering models in Python
- Prepare and explore data using Pandas, and visualize results with Matplotlib
- Apply responsible AI concepts and complete a capstone project for hands-on experience
Target Audience
This course is ideal for beginners interested in machine learning, Python developers looking to expand into AI, and students who want practical experience. If you are curious about how models are built and evaluated, and have basic Python skills, you will find this course approachable and rewarding.
