Introduction to Machine Learning with Python
Introduction to Machine Learning with Python
About the Book
The book is a hands-on introduction to Machine Learning. It takes a programmers view on how to apply different algorithms and what they are used for. Basic Python knowledge is required, but besides there are no prerequisites. It teaches you Applied Machine Learning with concepts like classification, regression and clustering. The book uses sklearn, numpy and several other modules.
About the Author
Table of Contents
-
Introduction
- What is Machine Learning?
- Who is this book for?
-
Chapter 1
- History
- Machine Learning
- Example problems
- What is supervised learning?
-
Chapter 2: First Program
- Install Scikit and Numpy
- First Program
-
Chapter 3: Classification on Real World Data
- Iris Classifier
- Accuracy
-
Chapter 4: Regression
- Introduction to Regression algorithms
- Example
- Linear Regression
- Polynomial regression
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Chapter 5: Clustering
- Clustering
- Demo
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