Key Features
Book Description
If you are a programmer who wants to get started with data mining, then this book is for you.What you will learn
- Apply data mining concepts to realworld problems
- Predict the outcome of sports matches based on past results
- Determine the author of a document based on their writing style
- Use APIs to download datasets from social media and other online services
- Find and extract good features from difficult datasets
- Create models that solve realworld problems
- Design and develop data mining applications using a variety of datasets
- Set up reproducible experiments and generate robust results
- Recommend movies, online celebrities, and news articles based on personal preferences
- Compute on big data, including realtime data from the Internet
Who this book is for
If you are a programmer who wants to get started with data mining, then this book is for you.
Table of Contents
- Getting Started with data mining
- Classifying using scikit-learn estimators
- Predicting Sports Winners with Decision Trees
- Recommending Movies using Affinity Analysis
- Extracting Features with Transformers
- Detecting Social media spam using Naive Bayes
- Discovering accounts to follow using graph mining
- Beating CAPTCHAs with Neural Networks
- Authorship attribution
- Clustering news articles
- Detecting objects in images using Deep Neural Networks
- Getting fit with big data
- Appendix : Next steps
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