Regression Modeling
Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification
Profile →npx skills add majiayu000/claude-skill-registry --skill regression-modeling --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Regression Modeling ## Overview Regression modeling predicts continuous target values based on input features, establishing quantitative relationships between variables for forecasting and analysis. ## When to Use - Predicting sales, prices, or other continuous numerical outcomes - Understanding relationships between independent and dependent variables - Forecasting trends based on historical data - Quantifying the impact of features on a target variable - Building baseline models for comparison with more complex algorithms - Identifying which variables most influence predictions ## Regression Types - **Linear Regression**: Straight-line fit to data - **Polynomial Regression**: Non-linear relationships - **Ridge (L2)**: Regularization to prevent overfitting - **Lasso (L1)**: Feature selection through regularization - **ElasticNet**: Combines Ridge and Lasso - **Robust Regression**: Resistant to outliers ## Key Metrics - **R² Score**: Proportion of variance explained - **RMSE**: Root Mean Squared Error - **MAE**: Mean Absolute Error - **AIC/BIC**: Model comparison criteria ## Implementation with Python ```python import pandas as pd import numpy as np import matplotlib.pyplot as pl
- Overview
- When to Use
- Regression Types
- Key Metrics
- Implementation with Python
- Assumption Checking
- Model Selection
- Deliverables
What does the Regression Modeling skill do?
Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill regression-modeling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.