Hands-On Machine Learning from Scratch: Develop a Deeper Understanding of Machine Learning Models by Implementing Them from Scratch in Python
- Length: 141 pages
- Edition: 1
- Language: English
- Publication Date: 2019-06-27
- ISBN-10: B07TKYBGJD
- Sales Rank: #0 (See Top 100 Books)
“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
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