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About the Book

This book covers many of the concepts that you will need to succeed as a data scientist. It covers everything from basic data structures through to platforms & software (e.g. Hadoop) and machine learning theory (without too much math!).

The book should give you a good understanding of the ways you can:

  • Prepare your data for modelling
  • Model your data
  • Measure model accuracy
  • Improve model accuracy

In addition to:

  • What Hadoop is & the components of its ecosystem
  • The tools we use to ingest data into Hadoop
  • The storage options within Hadoop
  • The analytics tools for Hadoop

I hope you enjoy this book!

Contents

  • Data basics
  • Data structures
  • Types of data
  • Structured data modelling
  • Hadoop (including ingestion, storage and analytics)
  • Key statistics for data science
  • Machine learning data preparation
  • Popular Machine Learning Models
  • Enhancing Machine Learning model accuracy

About the Author

kieran keene’s avatar kieran keene

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