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machine-learning-workshop-with-r-iitm-'s Introduction

Thanks for all of us who came to the session on Machine learning with R dated 8th October 2017

I am attaching the content taken on the workshop

The Repository has folowing files

  1. Basic Preprocessing.R - Basics of R
  2. Data Structure in R.R - scalar, vector, list, matrices,data frame, ifelse, loops, fuctions, packages
  3. Basic Subsetting.R - How to subset the data from dataframe
  4. Charts.R - Basic Charts on R
  5. Linear_Regression_1.R - Linear regression model with example with wine quality
  6. Linear_Regression_2.R - Linear regression model with example with Customer revenue generation
  7. Logistic_Regression.R - Logistic Regression model with example of Customer churn Prediction
  8. winequality-red.csv - Data set for Linear_Regression_1.R
  9. CustomerData.csv - Data set for Linear_Regression_2.R
  10. CustomerData_Classification.csv - Data set for Logistic_Regression.R

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