Practical Learning With R Projects

by Randy Moore

We all know that the exponential increase in data has led to the rise in demand for specialized data scientists. This calls for advanced data analytics tools that can help is developing insights from the data. R is an important tool for Data Science. It is highly popular and is the first choice of many statisticians and data scientists alikeWorld’s 90% of the data is generated in the last past 2 years. So now you can think how rapidly data is being generated. In fact, more than 2.7 zettabytes of data exists in the World today. It is projected to grow to 180 zettabytes in 2025. To play with such huge amount of data there are responsible persons such as data scientists, data analysts, data engineers, etc.Finding the right dataset while researching for machine learning or data science projects is a quite difficult task. And, to build accurate models, you need a huge amount of data. But don’t worry, there are many researchers, organizations, and individuals who have shared their work and we can use their datasets in our projects. In this article, we will discuss more than 5 machine learning datasets that you can use to build your next data science project.ContentsChapter 1 Sentiment Analysis Project in R Project – Sentiment Analysis Chapter 2 Uber Data Analysis Project R Data Science Project – Uber Data Analysis Chapter 3 Detect Credit Card Fraud with Machine Learning in R Machine Learning Project – How to Detect Credit Card Fraud .Chapter 4 Data Science Movie Recommendation System Project in R Movie Recommendation System Project using ML Chapter 5 Customer Segmentation using Machine Learning in R Chapter 6 List of best BooksCustomer Segmentation Project in R

121 pages, Paperback

Published January 13, 2020