Data Science Quick Notes

To be added

Fragments of things I learned.

They may be moved to a separate category later.

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Table of contents

• AIC and BIC
• Autocorrelation
• Autoregressive (AR) Model
• Cross-Validation
• Error vs Residual
• Feature Selection
• Hierarchical Clustering
• Hyperparameters
• K-Means Clustering
• Logistic Function
• Mallows's Cp
• One-Standard-Error Rule
• Seasonality
• Stationarity
• Validation Set Approach