Hands-On Data Science with R
Techniques to perform data manipulation and mining to build smart analytical models using R
BIRMINGHAM - MUMBAI
Title Page
by Ricardo Anjoleto Farias, Nataraj Dasgupta, Vitor Bianchi Lanzetta
Hands-On Data Science with R
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Getting Started with Data Science and R
- Descriptive and Inferential Statistics
- Data Wrangling with R
- Introduction to data wrangling with R
- Data extraction, transformation, and load
- Basic tools of data wrangling
- Using base R for data manipulation and analysis
- Applying families of functions 
- Using data.table for data manipulation
- Reading and writing files with data.table
- A special note on dates and/or time
- Miscellaneous topics
- Tutorial – looking at airline flight times data
- Summary
- Quiz
- 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
- Other Books You May Enjoy
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