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Mastering Machine Learning with scikit-learn

You're reading from Mastering Machine Learning with scikit-learn Apply effective learning algorithms to real-world problems using scikit-learn

Product type Paperback

Published in Jul 2017

Publisher

ISBN-13 9781788299879

Length 254 pages

Edition 2nd Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Author (1):

Gavin Hackeling

View More author details

Table of Contents (15) Chapters

Preface

1. The Fundamentals of Machine Learning

2. Simple Linear Regression FREE CHAPTER

3. Classification and Regression with k-Nearest Neighbors

4. Feature Extraction

5. From Simple Linear Regression to Multiple Linear Regression

6. From Linear Regression to Logistic Regression

7. Naive Bayes

8. Nonlinear Classification and Regression with Decision Trees

9. From Decision Trees to Random Forests and Other Ensemble Methods

10. The Perceptron

11. From the Perceptron to Support Vector Machines

12. From the Perceptron to Artificial Neural Networks

13. K-means

14. Dimensionality Reduction with Principal Component Analysis

Installing pandas, Pillow, NLTK, and matplotlib

pandas is an open source library that provides data structures and analysis tools for Python. pandas is a powerful library, and several books describe how to use pandas for data analysis. We will use a few of pandas's convenient tools for importing data and calculating summary statistics. Pillow is a fork of the Python Imaging Library, which provides a variety of image processing features. NLTK is a library for working with human language. As for scikit-learn, pip is the preferred installation method for pandas, Pillow, and NLTK. Execute the following command in a terminal emulator:

$ pip install pandas pillow nltk

Matplotlib is a library for easily creating plots, histograms, and other charts with Python. We will use it to visualize training data and models. Matplotlib has several dependencies. Like pandas, matplotlib depends on NumPy, which should already be installed. On Ubuntu 16.04, matplotlib and its dependencies can be installed with:

$ sudo apt install python-matplotlib

Binaries for Mac OS and Windows 10 can be downloaded from http://matplotlib.org/downloads.html.

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Authors (1)

Gavin Hackeling

Gavin Hackeling

Gavin Hackeling develops machine learning services for large-scale documents and image classification at an advertising network in New York. He received his Master's degree from New York University's Interactive Telecommunications Program, and his Bachelor's degree from the University of North Carolina.

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