Projects in Awesome Lists tagged with multiple-regression

https://github.com/dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

classification-model dominance dominance-analysis dominance-statistics feature-engineering feature-importance feature-selection keydrivers logistic-regression multiple-regression predictor predictor-importance pseudo-r-square r-square regression-models relative-importance shapley-value

Last synced: 01 May 2025

https://github.com/hunar4321/rls-neural-net

Recursive Leasting Squares (RLS) with Neural Network for fast learning

artificial-intelligence kalman-filter machine-learning multiple-regression neural-network oneshot-learning oneshotlearning recursive-least-squares regression-analysis

Last synced: 29 Oct 2025

https://github.com/vsoch/regression-wasm

Testing doing basic regression with web assembly

golang linear-regression multiple-regression wasm web-assembly

Last synced: 12 Apr 2025

https://github.com/ditikrushna/predict-sales-revenue-using-multiple-regression-model

In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.

data-science multiple-regression multiple-regression-analysis regression-models seaborn

Last synced: 01 Mar 2025

https://github.com/hunar4321/multiple-regression

A simple intuitive method for multiple regression

linear-regression machine-learning multiple-regression numpy predictive-modeling python regression

Last synced: 01 May 2026

https://github.com/udialter/equivalence-testing-multiple-regression

I constructed a simulation study to evaluate the statistical performance of two equivalence-based tests and compared it to the common, but inappropriate, method of concluding no effect by failing to reject the null hypothesis of the traditional test. I further propose two R functions to supply researchers with open-access and easy-to-use tools that they can flexibly adopt in their own research.

equivalence-testing multiple-regression null-hypothesis psychology quantitative-methods quantitative-psychology

Last synced: 20 Mar 2026

https://github.com/danielvartan/linear-models

🐧🧊 General Linear Models Using Penguins

data-analysis data-visualization general-linear-models multiple-regression palmer-archipelago penguin-statistics penguins r-programming statistical-modeling

Last synced: 31 Jan 2026

https://github.com/hoangsonww/fred-banking-data-analysis

💸 AI-powered banking data explorer that combines FRED API insights with vector search, regression analysis, and interactive chat via OpenAI, Claude, and Gemini. Built with TypeScript, React, and Express for seamless full-stack performance.

anthropic chartjs claude-ai data data-analysis data-analytics data-science data-visualization fred fred-api gemini google-generative-ai logistic-regression multiple-regression openai pinecone react regression typescript vector-database

Last synced: 09 Apr 2025

https://github.com/vjgpt/housing-prices-competition-kaggle

Learn about Feature Engineering and get familiar with Advanced regression techniques like Lasso, ElasticNet, Gradient Boosting, etc.

feature-engineering housing-prices machine-learning model-analysis model-comparison multiple-regression regression-models

Last synced: 18 Mar 2025

https://github.com/jdfoster11/r_horror_movie_quality_analysis

Using R to perform a statistical and regression analysis on a horror movies quality dataset

data-science markdown multiple-regression r rprogramming

Last synced: 06 May 2026

https://github.com/grantgasser/multiple_regression

A simple multiple regression on two datasets (lm and closed form solution)

least-squares multiple-regression r

Last synced: 03 Apr 2025

https://github.com/grantgasser/complete-multiple-regression

R script that performs complete multiple regression on two data sets

least-squares linear-models multiple-regression r

Last synced: 03 Apr 2025

https://github.com/lefteris-souflas/multiple-regression-project

Analysis of real estate sales data. Tasks include understanding dataset structure, variable conversion, descriptive analysis, pairwise comparisons, linear relationship analysis, multiple regression modeling, feature selection using stepwise methods, final model summary, assumptions checking, and LASSO variable selection. Results are documented.

assumption-testing descriptive-analysis durbin-watson-test feature-selection lasso-regression linear-relationship multiple-regression pairwise-comparison pearson-correlation-coefficient r runs-test stepwise-selection visualization