
Regression Modeling
This is a straightforward prompt for getting Claude to build regression models when you need to predict continuous values like sales figures, prices, or forecasts. It covers the basics: when to use regression, what types exist, and how to interpret results. The skill comes from aj-geddes' useful-ai-prompts collection, which has 245 GitHub stars and passes security audits from Gen Agent Trust Hub, Socket, and Snyk. Honestly, this feels like a solid reference prompt if you're doing data analysis work and want Claude to handle the modeling setup without having to explain linear regression from scratch every time. Good for quick prototyping or establishing baselines before moving to more complex approaches.
- GitHub stars
- 317
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill 'Regression Modeling' --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
Sponsors
Details
- Repository
- github.com/aj-geddes/useful-ai-prompts
- Categories
- DevOps & CI/CD, AI & Agent Building
- First seen
- Jun 3, 2026
More from aj-geddes/useful-ai-prompts
All 258- Sentiment Analysis
- Statistical Hypothesis Testing
- Survival Analysis
- Time Series Analysis
- Nodejs Express Server3.3K
- Code Review Analysis2.4K
- Jenkins Pipeline2.2K
- Rest Api Design2.1K
- Architecture Diagrams2K
- Ansible Automation1.9K
- Ios Swift Development1.5K
- Nginx Configuration1.5K
- Android Kotlin Development1.5K
- Flask Api Development1.4K
- Wireframe Prototyping1.4K
- Markdown Documentation1.3K
- Terraform Infrastructure1.2K
- Responsive Web Design1.1K
- Penetration Testing1.1K
- Css Architecture969
- Api Contract Testing926
- Root Cause Analysis916
- Event Sourcing892
- Mobile First Design869