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This is the code repository for R-Recipes-for-Analysis-Visualization-and-Machine-Learning, published by Packt.

License: MIT License

R 4.01% Java 0.64% HTML 58.69% CSS 8.20% JavaScript 28.46%

r-recipes-for-analysis-visualization-and-machine-learning's Introduction

R Recipes for Analysis Visualization and Machine Learning

This is the code repository for R-Recipes-for-Analysis-Visualization-and-Machine-Learning, published by Packt. It contains all the necessary code files.

##What You Will Learn:

  • Get data into your R environment and prepare it for analysis
  • Perform exploratory data analyses and generate meaningful visualizations of the data
  • Generate various plots in R using the basic R plotting techniques
  • Create presentations and learn the basics of creating apps in R for your audience
  • Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm
  • Visualize associations in various graph formats and find frequent itemset using the ECLAT algorithm
  • Build, tune, and evaluate predictive models with different machine learning packages
  • Incorporate R and Hadoop to solve machine learning problems on big data

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