What types of regression models can this skill create?

The skill can generate various models including linear and polynomial regression, automatically selecting the most appropriate method based on the structure of your data.

Can I use this skill for sales forecasting?

Yes, it is specifically designed to analyze historical sales data to identify trends and generate equations that predict future values.

How does the skill ensure the accuracy of its models?

It performs automated model validation and provides key performance metrics such as R-squared and Root Mean Square Error (RMSE) to help you evaluate reliability.

Does this skill help with data preparation?

While the skill focuses on modeling, it provides guidance on data structure and follows best practices for preprocessing to ensure the analysis is valid.

Regression Analysis & Modeling

Name: Regression Analysis & Modeling
Author: jeremylongshore

byjeremylongshore

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883

数据科学与机器学习

Performs statistical regression analysis and predictive modeling to identify relationships between variables and forecast data trends.

关于

This skill empowers Claude to act as a specialized data scientist by automating the process of building, validating, and interpreting regression models. By leveraging the regression-analysis-tool, it identifies patterns in datasets—such as linear or polynomial relationships—and provides critical performance metrics like R-squared and RMSE to ensure model accuracy. Whether you are predicting market trends, house prices, or analyzing complex sales data, this skill streamlines statistical workflows into actionable insights and reliable predictive forecasts within the Claude Code environment.

主要功能

Comprehensive model validation and accuracy reporting
883 GitHub stars
Automated model generation including linear and polynomial regression
Performance metrics calculation including R-squared and RMSE
Deep analysis of relationships between independent and dependent variables
Predictive forecasting based on existing historical datasets

使用场景

Predicting future business metrics and sales trends based on historical data
Analyzing the correlation between variables in scientific or financial datasets
Building and validating predictive models for real estate or market price forecasting

关于

主要功能

Comprehensive model validation and accuracy reporting
883 GitHub stars
Automated model generation including linear and polynomial regression
Performance metrics calculation including R-squared and RMSE
Deep analysis of relationships between independent and dependent variables
Predictive forecasting based on existing historical datasets

使用场景

Predicting future business metrics and sales trends based on historical data
Analyzing the correlation between variables in scientific or financial datasets
Building and validating predictive models for real estate or market price forecasting