Book

Learning Data Mining with Python

The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding these insights, and Python is one of the most popular languages for data mining because it provides both power and flexibility in analysis.

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Difficulty Level

Intermediate

Completion Time

11h56m

Language

English

About Book

Who Is This Book For?

If you are a Python programmer who wants to get started with data mining, then this book is for you. If you are a data analyst who wants to leverage the power of Python to perform data mining efficiently, this book will also help you. No previous experience with data mining is expected.

Book content

chapters 11h56m total length

Getting Started with data mining

Classification using scikit-learn estimators

Predicting Sports Winners with Decision Trees

Book Recommendations using Affinity Analysis

Features and scikit-learn transformers

Social media spam detection using Naive Bayes

Follow recommendations using graph mining

Beating CAPTCHAs with Neural Networks

Authorship attribution

Clustering news articles

Object Detection in images using Deep Neural Networks

Working with Big Data

Appendix: Next Steps

Related Resources

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