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scikit-learn Cookbook - Second Edition

You're reading from scikit-learn Cookbook - Second Edition

Product type Book

Published in Nov 2017

Publisher Packt

ISBN-13 9781787286382

Pages 374 pages

Edition 2nd Edition

Languages

Concepts

Machine Learning

Author (1):

Trent Hauck

Table of Contents (13) Chapters

Preface

1. High-Performance Machine Learning – NumPy

2. Pre-Model Workflow and Pre-Processing

3. Dimensionality Reduction

4. Linear Models with scikit-learn

5. Linear Models – Logistic Regression

6. Building Models with Distance Metrics

7. Cross-Validation and Post-Model Workflow

8. Support Vector Machines

9. Tree Algorithms and Ensembles

10. Text and Multiclass Classification with scikit-learn

11. Neural Networks

12. Create a Simple Estimator

Putting it all together – UCI breast cancer dataset

How to do it...

The dataset is provided thanks to Street, N (1990), UCI machine learning repository (https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data), Madison, WI: University of Wisconsin, computer sciences department:

After reading the citation/license information, load the dataset from UCI:

import numpy as np
import pandas as pd
data_web_address = data_web_address = "https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data"
column_names = ['radius',
                'texture',
                'perimeter',
       ...

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Authors (1)

Trent Hauck

Trent Hauck is a data scientist living and working in the Seattle area. He grew up in Wichita, Kansas and received his undergraduate and graduate degrees from the University of Kansas. He is the author of the book Instant Data Intensive Apps with pandas How-to, Packt Publishing—a book that can get you up to speed quickly with pandas and other associated technologies.

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