Python for Machine Learning - The Complete Beginner's Course
Learn to create machine learning algorithms in Python for students and professionals
Created by Meta Brains
Explore how Python can power machine learning projects by building real-world algorithms from the ground up. Develop a solid understanding of deep learning fundamentals and discover how to use popular Python frameworks to solve practical problems. Gain hands-on skills that will help you apply machine learning in real scenarios.
Packt | Sep 2022 | 147 min
What You Will Learn
You will start by reviewing essential Python programming concepts and gradually move into hands-on work with machine learning libraries like Scikit-Learn. Through practical exercises, you will implement regression, classification, and clustering algorithms, and then advance to building neural networks using TensorFlow and Keras. Each topic combines theory with real coding examples.
Key Features
- Apply Python frameworks to build and test machine learning models
- Use regression, classification, and clustering algorithms for real predictions
- Understand and implement neural networks with TensorFlow and Keras
Target Audience
Perfect for Python programmers and tech professionals who want to break into machine learning or add new skills to their toolkit. If you already understand basic Python and are ready to dive deeper into machine learning concepts, you will find practical guidance and clear explanations to help you reach your goals.
