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  2. Machine Learning Basics

Machine Learning Basics

Learn about machine learning concepts, terminology and general best practices.

Introduction to Machine Learning

  • Welcome to Data Science

Asking Business Questions Machine Learning Can Answer

  • Introduction to Asking Business Questions
  • Example 1: Customer Lifetime Value (a Regression example)
  • Example 2: Customer Retention (a Classification example)

Data Transformation Techniques

  • Introduction to Data Transformation Techniques
  • Variable Data Types in Machine Learning
  • Encoding Categorical Variables in Math
  • Feature Scaling
  • Imputation
  • Model Preprocessing

Correlation

  • Considerations in Selecting Drivers: The Law of Parsimony & Data Leakage
  • Correlation is not causation
  • Correlation Matrix

Models & Scoring

  • Model Types
  • Regressions
  • Ensembles
  • Other Model Types
  • Scoring Metrics
  • Scoring Classification Models
See all 8 articles

Model Explanation

  • ROC Curve Explained
  • An overview of Feature Importance
  • Permutation Importance explained
  • SHAP Importance explained
  • Explore predictions with Scenarios

Glossary

  • Accuracy
  • Area Under Curve (AUC)
  • Confusion Matrix
  • Correlation
  • Correlation Matrix
  • F1 Score
See all 19 articles

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