Hands-On Data Science with R
Hands-On Data Science with R explore various popular R packages to perform various data science tasks, including core statistical concepts and a wide array of use cases. This practical book covers the entire data science ecosystem for aspiring data scientists, including machine learning, NLP, and neural networks
Offered by
Difficulty Level
Intermediate
Completion Time
14h
Language
English
About Book
Who Is This Book For?
If you are a data analyst, data engineer, statistician or an R programmer and aspiring to enter the field of machine learning and predictive analytics, then this is the right book to start your journey. Basic understanding of linear algebra/statistics would be beneficial and R programming would be required.
Hands-On Data Science with R
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h total length
Getting started with Data Science and R
Descriptive and Inferential Statistics
Data Wrangling with R
KDD, Data Mining, and Text Mining
Data Analysis with R
Machine Learning with R
Forecasting and ML App with R
Neural Networks and Deep Learning
Markovian in R
Visualizing Data
Going to Production with R
Large Scale Data Analytics with Hadoop
R on Cloud
The Road Ahead
Related Resources
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