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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

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