Useful Links
Computer Science
Artificial Intelligence
Machine Learning
Feature Engineering for Machine Learning
1. Introduction to Feature Engineering
2. Foundational Concepts
3. Exploratory Data Analysis for Features
4. Data Cleaning and Preparation
5. Feature Scaling and Normalization
6. Categorical Feature Engineering
7. Feature Creation and Generation
8. Temporal Feature Engineering
9. Text Feature Engineering
10. Geospatial Feature Engineering
11. Feature Selection Methods
12. Dimensionality Reduction
13. Advanced Feature Engineering
14. Evaluation and Validation
15. Implementation and Best Practices
16. Common Pitfalls and Solutions
Temporal Feature Engineering
DateTime Component Extraction
Year, Month, Day
Hour, Minute, Second
Day of Week
Day of Year
Week of Year
Quarter
Season
Is Weekend
Is Holiday
Is Month End
Is Month Start
Time-Based Calculations
Time Since Event
Time Until Event
Duration Between Events
Age Calculations
Tenure Features
Lag Features
Single Lag Features
Multiple Lag Features
Seasonal Lags
Variable Lag Windows
Rolling Window Features
Moving Averages
Rolling Statistics
Rolling Sum
Rolling Min
Rolling Max
Rolling Standard Deviation
Rolling Median
Exponentially Weighted Features
Custom Rolling Functions
Time Series Decomposition
Trend Components
Seasonal Components
Residual Components
Cyclical Patterns
Previous
7. Feature Creation and Generation
Go to top
Next
9. Text Feature Engineering