Python Machine Learning Crash Course for Beginners
A complete machine learning step-by-step course, mastering regression, classification and clustering
Created by AI Sciences
Get started with machine learning using Python and discover how to build practical models from the ground up. You'll explore core concepts like regression, classification, and clustering, and learn to create, train, and optimize your own algorithms for real-world use.
Packt | Apr 2021 | 567 min
What You Will Learn
You'll follow a hands-on path, working through each machine learning concept with practical examples. By applying techniques directly to projects, you'll see how to prepare data, choose the right model, and measure performance. Step by step, you'll gain confidence as you build and optimize your own applications.
Key Features
- Create and train machine learning models using Python and scikit-learn
- Apply regression, classification, and clustering to real data problems
- Build a face recognition app to put your new skills into practice
Target Audience
Perfect for Python developers who want to break into machine learning without prior experience. If you know the basics of Python and are eager to apply your skills to real-world problems, you'll find clear guidance and practical projects to help you get started and grow your expertise.
