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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