Regression and Classification

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  • Statistical Learning Introduction
    • Introduction to overarching and foundational concepts in Statistical Learning.
  • Accuracy
    • Exploration into assessing models in different situations. How do we define a "best" model for given data?
  • Simple Linear Regression
    • Introduction to Simple Linear Regression, such as when and how to use it.
  • Multiple Linear Regression
    • A deep dive into multiple linear regression, a strong and extremely popular technique for a continuous target.
  • Classification Overview
  • Classification Models

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