Hands-On Data Science with R Techniques to perform data manipulation and mining to build smart analytical models

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Hands-On Data Science with R:
Techniques to perform data manipulation and mining to build smart analytical models using R
by Bianchi Lanzetta, Vitor

English | 2018 | ISBN: 1789139406 | 414 Pages | PDF (True) | 26 MB
The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data.

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