Getting Started with Machine Learning in Python
Use Machine Learning to make your Python apps smarter
Created by James Cross
Explore how to make your Python applications smarter by applying machine learning techniques. You'll move beyond manual rules and learn to use data to build models that can classify, predict, and group information automatically. No heavy theory, just practical skills for real-world problems.
Packt | Sep 2018 | 173 min
What You Will Learn
You will learn by working through hands-on exercises and clear, step-by-step instructions. Each concept is explained using intuition and practical examples, making it easy to connect theory with real coding tasks. You'll gain confidence by applying what you learn directly to Python projects.
Key Features
- Build supervised models to classify data and predict future values accurately
- Apply unsupervised learning to group and segment data for deeper insights
- Clean and prepare datasets to improve the performance of your machine learning models
Target Audience
Ideal for developers or analysts with basic Python and numerical skills who want to move past rule-based programming. If you're looking to use your data to automatically solve problems and want a practical introduction to machine learning, you'll find the content approachable and directly useful.
