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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