regression-analysis-modeling
Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts, demand predictions, or any numerical target variables. Includes automated feature engineering, model comparison, and visualization with Chinese language support.
npx skills add majiayu000/claude-skill-registry --skill regression-analysis-modeling-liangdabiao-claude-data-analysis-2 --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 Analysis & Predictive Modeling A comprehensive regression analysis skill that automates the complete machine learning workflow from data preparation to model evaluation and interpretation, supporting multiple algorithms and business use cases. ## Instructions ### 1. Data Preparation and Exploration When users provide datasets for regression analysis: - Load and validate the data structure and quality - Handle missing values, outliers, and data type conversions - Perform exploratory data analysis (EDA) with visualizations - Identify potential predictors and target variables - Support both English and Chinese column names and data ### 2. Feature Engineering - **Date Features**: Extract time-based features from datetime columns - **Categorical Encoding**: Convert categorical variables to numerical representations - **Feature Creation**: Generate interaction terms, ratios, and derived features - **Feature Selection**: Identify most predictive features using statistical methods - **Data Scaling**: Standardize or normalize features as needed for different algorithms ### 3. Model Training and Selection - **Linear Regression**: Baseline model with coefficient interpretation -
- Instructions
- 1. Data Preparation and Exploration
- 2. Feature Engineering
- 3. Model Training and Selection
- 4. Model Evaluation and Diagnostics
- 5. Visualization and Reporting
- Usage Examples
- Housing Price Prediction
- Sales Forecasting
- Risk Assessment
- Key Features
- Automated ML Pipeline
- Business-Focused Outputs
- Advanced Analytics
What does the regression-analysis-modeling skill do?
Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts, demand predictions, or any numerical target variables. Includes automated feature engineering, model comparison, and visualization with Chinese language support.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill regression-analysis-modeling-liangdabiao-claude-data-analysis-2 --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.