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Overview
R: Data Structures
R: Automation with Loops
R: Conditional Statements
R: Functions
R for Data Science
Intro to tidyverse operations
An aside for encryption tools
Clustering (Unsupervised Learning)
Clustering Algorithm:
\(K\)
-means
Clustering Algorithm: Hierarchical clustering
Association Rules (Unsupervised Learning)
Preface for Supervised Learning
Regression (Supervised Learning)
Classification (Supervised Learning)
Classification Framework
Classification with Logistic Regression
Assessing Classification Models
Decision Tree and Random Forest
Support Vector Machines
Neural Networks and Deep Learning
Ensemble Learning
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Index
