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

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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