Difficulty Level
Intermediate
Completion Time
11h20m
Language
English
About Book
Who Is This Book For?
If you are interested in mining useful information from data using state-of-the-art techniques to make data-driven decisions, this is a go-to guide for you. No prior experience with data science is required, although basic knowledge of R is highly desirable. Prior knowledge in machine learning would be helpful but is not necessary.
R Machine Learning By Example
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h20m total length
Getting Started
Let’s help Machines Learn Something
Predicting Customer Shopping Trends with Market Basket Analysis
Building a Product Recommendation System
Sales Fraud Detection and Prediction - Descriptive Analytics
Sales Fraud Detection and Prediction - Predictive Analytics
Social Media Analysis - Analyzing Twitter Data
Sentiment Analysis of Twitter Data
Related Resources
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