Data Analytics using R


Course name – Machine Learning using R

Total Duration – 36-40 hours

Total 12 sessions of 4 hours ( 2 hours theory + 2 hours practical )


  • Class 1
    Machine learning basics

  • Class 2
    Introduction to R

  • Class 3-4-5
    Classification
    • K-Nearest Neighbors
    • Decision trees
    • Naïve Bayes
    • Logistic regression
    • Support vector machines
    • AdaBoost meta-algorithm

  • Class 6-7
    Forecasting numeric values with regression
    • Predicting numeric values: regression
    • Tree-based regression

  • Class 8-9-10
    Unsupervised learning
    • Grouping unlabelled items using k-means clustering
    • Association analysis with the Apriori algorithm
    • Efficiently finding frequent itemsets with FP-growth

  • Class 11-12
    Additional tools
    • Principal component analysis to simplify data
    • Big data and MapReduce