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Clustering & Classification With Machine Learning In R

Clustering & Classification With Machine Learning In R
Clustering & Classification With Machine Learning In R, Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In R -- With Practical Examples
Created by Minerva Singh
English
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What you'll learn
  • Be Able To Harness The Power Of R For Practical Data Science
  • Read In Data Into The R Environment From Different Sources
  • Carry Out Basic Data Pre-processing & Wrangling In R Studio
  • Implement Unsupervised/Clustering Techniques Such As k-means Clustering
  • Implement Dimensional Reduction Techniques (PCA) & Feature Selection
  • Implement Supervised Learning Techniques/Classification Such As Random Forests
  • Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy
  • Requirements
  • Should Be Able To Operate & Install Software On A Computer
  • Prior Exposure To Common Machine Learning Terms Such As Unsupervised & Supervised Learning
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