Data Science R

Course Content

Total learning: 19 lessons

Part – 14

Part 14 Supervised Learning 

  • Liner Regression 
  • Logistics Regression 
  • Support Vector Machines (SVM)
  • Na¨ıve Bayes
  • Ordinal Regression
  • Multinomial Regression
  • k-Nearest Neighbor Classification
  • Decision Tree 
  • GINI Dacesion Tree 
  • Bootstrap Aggregating (Bagging),
  • Random forest Resembling ,
  • Support vector machine
  • Neural Network
  • Deep Learning  

Part 14 : Unsupervised Learning

  • PCA
  • Cluster 
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