Hands-On Machine Learning from Scratch: Develop a Deeper Understanding of Machine Learning Models by Implementing Them from Scratch in Python

“What I cannot create, I do not understand” – Richard Feynman

This book is your guide on your journey to deeper Machine Learning understanding by developing algorithms from scratch.

But why this book?

• Step-by-step guide on how to approach, visualize and solve data science problems
• Learn why and when Machine Learning is the right tool for the job
• Learn how to process CSV, text, and image data
• Develop Linear Regression, Logistic Regression, Decision Tree, Neural Network, and other models. Use your models to solve real-world problems.
• Find how to improve low performing models
• Learn how to use Python libraries like NumPy, Pandas, Seaborn and more
• Complete source code (notebooks) that works and runs in the cloud