Data

Tools

Indexes

Applications

Experiments

Awesome

An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with multiple-linear-regression

A curated list of projects in awesome lists tagged with multiple-linear-regression .

https://github.com/tystan/codaredistlm

Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components

coda compositional-data-analysis isometric-log-ratio multiple-linear-regression plotting prediction

Last synced: 22 Oct 2025

https://github.com/just-krivi/real-estate-market-analysis

Streamlit web app using custom ML models (multiple linear regression and one-to-many multiclass kernel SVM) for predicting real estate prices; Scraping and analyzing real estate listings in Serbia

data-science docker gradient-descent machine-learning multiclass-support-vector-machine multiple-linear-regression postgresql python scrapy stramlit svm webscraping

Last synced: 04 Oct 2025

https://github.com/bhattbhavesh91/rural-credit-worthiness-regression

Predicting Loan Amount for rural people based on Regression

credit-scoring linear-regression multiple-linear-regression numpy

Last synced: 19 Sep 2025

https://github.com/czheluo/isr

Mult-Loci nonlinear/Linear Model based on new algorithm For GWAS , Epistasis and GS（ISR）

genome-prediction gs gwas linear-regression multiple-linear-regression regression-analysis

Last synced: 13 Mar 2025

https://github.com/shaadclt/energy-output-prediction-multiplelinearregressor

This project involves the prediction of energy output in a Combined Cycle Power Plant (CCPP) using Multiple Linear Regression in Jupyter Notebook. The dataset contains features such as temperature, pressure, humidity, and exhaust vacuum, which are used to predict the net hourly electrical energy output.

multiple-linear-regression

Last synced: 07 Oct 2025

https://github.com/theharshithr/bike-sharing-assignment

Linear Regression model that helps to identify the demand of bike sharing(eg-Yulu bikes) depends on which factors.

data-visualization linear-regression machine-learning multiple-linear-regression python

Last synced: 12 Oct 2025

https://github.com/angeligareta/basic-statistics-r

Assignments for Statistical Data Analysis course at UPM including performing statistical analysis, multiple linear regression, and time series analysis.

linear-regression multiple-linear-regression r r-programming series-analysis statistics time-series time-series-analysis upm

Last synced: 20 Jun 2025

https://github.com/invictusaman/insurance-cost-analysis-regression

Showcasing Simple Linear, Multiple Linear, Polynomial and Ridge Regression on Insurance Cost Dataset to predict insurance price. Also, I have generated a report using Quarto.

jupyter-notebook linear-regression machine-learning multiple-linear-regression notebooks pipeline polynomial-regression quarto regression ridge-regression

Last synced: 12 Feb 2026

https://github.com/b-pinter/spring-2024-research

Spring/Summer 2024 Research - Outside parameters and their effects on COVID-19 Death Totals

data-science geopandas multiple-linear-regression regression-models

Last synced: 08 Jan 2026

https://github.com/vidhi1290/regression-series

In this repository, we delve into the world of regression analysis. I have provided straightforward examples and in-depth explanations of both simple and multiple regression, helping you gain a solid grasp of these essential statistical techniques.😎✅

datascience linear-regression logistic-regression machine-learning machine-learning-algorithms multiple-linear-regression regression-models simple-linear-regression

Last synced: 28 Mar 2025

https://github.com/mzusin/mz-ml

A collection of TypeScript-based machine learning helpers.

linear-regression machine-learning mean-squared-error ml multiple-linear-regression

Last synced: 24 Mar 2025

https://github.com/saniyaabushakimova/rigorous-modeling-techniques-for-estimating-student-reaction-times

This project uses the Reaction Time Survey dataset to develop a linear regression model for accurately predicting student reaction times based on various predictors. Tech: R (RStudio)

exploratory-data-analysis hypothesis-testing lasso model-diagnostics multiple-linear-regression r vif

Last synced: 10 Jun 2026

https://github.com/akash-9832/predicting-risk-factors-for-death-due-to-lack-of-bridges-in-nepal-using-multiple-regression-analysis

This research uses Multiple Linear Regression to predict the risk factor for possibility of death for not having a bridge in Nepal.

machine-learning multiple-linear-regression pandas-dataframe

Last synced: 28 Jun 2025

https://github.com/anvesham/suicide_prediction_in_india

Suicides in India 2019: A Case Study on the impact of the societal constructs on Mental Health

categorical-data exploratory-data-analysis multiple-linear-regression python residual-plot seaborn-plots

Last synced: 14 May 2026

https://github.com/ebadshabbir/company_profit-onehotencoding-

This project uses multiple linear regression to predict startup profits based on spending and location data from the **50 Startups** dataset. It includes data preprocessing, model training, and performance evaluation using Scikit-Learn.

jupyter-notebook machine-learning matplotlib multiple-linear-regression onehot-encoding pandas pyhton regression sklearn

Last synced: 08 May 2026

https://github.com/pngo1997/predictive-model-data-science-salaries

Project analyzes and predicts Data Science salaries worldwide (2020-2023) using Multiple Linear Regression.

eda multiple-linear-regression predictive-analytics predictive-modeling

Last synced: 25 Oct 2025

https://github.com/azizlike29/home-price-prediction

South Jakarta house price prediction

data-science multiple-linear-regression

Last synced: 26 Oct 2025

https://github.com/sarowarahmed/advertising-sales-app

📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.

advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit

Last synced: 07 Feb 2026

https://github.com/beliavsky/regression_spaeth

Fortran 90 library of John Burkardt for regression using least-squares and other criteria, based on Spaeth's codes

linear-regression multiple-linear-regression regression robust-regression statistics

Last synced: 10 Feb 2026

https://github.com/dynamicanupam/bike_sharing_demand_study_using_linear_regression

Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue.

exploratory-data-analysis linear-regression matplotlib multiple-linear-regression pandas python seaborn sklean statsmodels

Last synced: 18 Apr 2026

https://github.com/kashramnath/pdan8411_task1_st10117137_2023

Multiple Linear Regression - Real Estate Regression

data-analytics data-science multiple-linear-regression python

Last synced: 27 Apr 2026

https://github.com/abhishek010397/tigerprediction-machinelearning

Machine Learning Prediction Model Using Multiple Regression to predict Tiger Population in India

keras-tensorflow matplotlib-pyplot multiple-linear-regression numpy pandas python3 r2 sklearn

Last synced: 29 Apr 2026

https://github.com/yane07/world-happiness-report

This research aims to identify the factors that influence the World Happiness Report using multiple linear regression with the Python

multiple-linear-regression python

Last synced: 30 Apr 2026

https://github.com/aye-shadow/machine-learning-practise

This repo is for all my machine-learning mini-projects to showcase my learning as I dive into the world of AI/ML/DL.

decision-trees k-nearest-neighbours machine-learning multiple-linear-regression python regression-trees simple-linear-regression

Last synced: 06 May 2026

https://github.com/ebadshabbir/bluff-detection-model-polynomial_regression-

This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.

jupyter-notebook linear-regression machine-learning matplotlib-pyplot multiple-linear-regression numpy polynomial-regression python

Last synced: 07 May 2026

https://github.com/pngo1997/multiple-regression-and-feature-selection-analysis

Explores multiple linear regression, feature selection, Ridge & Lasso regression, and Stochastic Gradient Descent (SGD) regression.

feature-selection lasso-regression multiple-linear-regression python ridge-regression stochastic-gradient-descent

Last synced: 12 May 2026

https://github.com/edanur-y/agricultural-yield-prediction-with-multiple-linear-regression

Performing multiple linear regression analysis on agricultural data to predict the yield.

data-analysis missing-data-imputation multiple-linear-regression outlier-analysis r

Last synced: 13 Jun 2026

https://github.com/mike014/champions_league_predictor

This web application predicts the number of goals scored by a team in the Champions League based on various statistical parameters. It uses a linear regression model trained on a historical dataset of team performances.

flask linerregression multiple-linear-regression python

Last synced: 16 Feb 2026

https://github.com/cano1998/daibetes-multiple-linear-regression

In this project I focused on applying multiple linear regression to analyze and interpret factors influencing diabetes outcomes. The project also evaluates the model's fit using the R-squared (R²) metric.

data-preprocessing jupyter-notebook model-evaluation multiple-linear-regression python standardization

Last synced: 13 May 2026

https://github.com/andriamahay11master/machinelearning

This project is created to practice supervised ML using the libraries existing in Python

linear-regression multiple-linear-regression python scikit-learn scikitlearn-machine-learning

Last synced: 15 May 2026

https://github.com/hirudikaanupama/student-score-prediction-linear-regression

Here the prediction and analysis of student scores using selected features is done entirely by linear regression machine learning algorithm. This project covers all methods of linear regression theory.

cross-validation data-cleaning data-visualization hyperparameter-tuning jupiter-notebook lasso-regression linear-regression machine-learning-algorithms multiple-linear-regression prediction-model python regularization ridge-regression student-score-prediction

Last synced: 26 Apr 2026

https://github.com/brianlesko/machine_learning_5307

This repository concerns Machine Learning concepts Contents: Written by Brian Lesko, the repository contains Python Notebooks demonstrating Statistical Machine Learning theories largely originating from the book, An Introduction to Statistical Learning, by Gareth James.

linear-regression machine-learning ml multiple-linear-regression regression statistics supervised-learning

Last synced: 18 May 2026

https://github.com/manesioz/multiple-linear-regression-model

Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings.

backward-elimination finance machine-learning multiple-linear-regression optimization python

Last synced: 16 Apr 2026

https://github.com/khushi130404/linear_regression

This project predicts placement salary (LPA) based on CGPA and IQ using Single, Multiple, and Polynomial Linear Regression models. It includes manual and sklearn implementations for comparison.

linear-regression multiple-linear-regression polynomial-linear-regression single-linear-regression

Last synced: 01 Aug 2025

https://github.com/moenessgannouni/englandweather

A mini-project that analyzes weather data in England usingLinear Regression and Multiple Linear Regression. Ideal for learning and applying statistical analysis and predictive modeling.

data-analysis data-visualization linear-regression multiple-linear-regression rprogramming

Last synced: 22 Mar 2025

https://github.com/habiburrahman-mu/model-development

We developed several models that predict the price of the car using the variables or features. This is just an estimate but should give us an objective idea of how much the car should cost. In Data Analytics, we often use Model Development to help us predict future observations from the data we have. A Model helps us understand the exact relationship between different variables and how these variables are used to predict the result.

linear-regression machine-learning machine-learning-algorithms model-development multiple-linear-regression polynomial-regression regression

Last synced: 20 Apr 2026

https://github.com/aqueeqazam/stock-price-prediction-using-artificial-neural-networks

This project builds and trains a regression model to predict the next day's stock closing price using historical market data. The model is based on a fully connected deep neural network (FCNN) built with TensorFlow/Keras.

ann multiple-linear-regression simple-regression

Last synced: 01 Jul 2025

https://github.com/aroojzahra908/artifical-intelligence-algorithms

This repository contains all AI algorithms and related coursework from my Artificial Intelligence class during Semester five.

gradient-descent linear-regression multiple-linear-regression

Last synced: 31 Mar 2025

https://github.com/yashmittalz/house-price-prediction

A machine learning project that uses multiple linear regression to predict house prices based on factors like area, room count, and building age.

house-price-prediction machine-learning multiple-linear-regression

Last synced: 06 Jan 2026

https://github.com/lingumd/mechacar_statistical_analysis

Analysis on MechaCar data to help the manufacturing team, using R to run multiple linear regression, summary statistics, and t-tests.

multiple-linear-regression r-studio statistical-analysis statistics summary-statistics t-tests

Last synced: 16 Mar 2025

https://github.com/cyberoctane29/influencer-impact-and-marketing-sales-modeling-and-analysis

This project analyzes influencer marketing and promotional budgets' impact on sales using ML and statistical modeling in Python. It includes EDA, data cleaning, and simple and multiple linear regression. Key libraries include pandas, NumPy, statsmodels, Seaborn, and Matplotlib. Insights help optimize marketing strategies and resource allocation.

data-analytics eda influencer-analytics influencer-marketing machine-learning marketing-analytics multiple-linear-regression predictive-modeling regression-analysis simple-linear-regression supervised-learning

Last synced: 12 Jun 2025

https://github.com/jdfoster11/r_key_factors_of_song_popularity

Using R to perform a statistical and multiple regression analysis on a music dataset

data-science multiple-linear-regression r regression-models rprogramming stepwise-regression

Last synced: 04 Sep 2025

https://github.com/cyberoctane29/penguins-data-analysis-and-modeling

This project applies statistical modeling, including single and multiple linear regression, using Python. It covers exploratory data analysis, data cleaning, and modeling with pandas, NumPy, statsmodels, and scikit-learn. Regression analyzes relationships, while clustering identifies patterns. Seaborn visualizations enhance interpretability.

cluster-analysis clustering-algorithm data-analytics eda kmeans-clustering machine-learning multiple-linear-regression penguins predictive-modeling regression-analysis simple-linear-regression statistical-modeling supervised-learning unsupervised-learning

Last synced: 02 Apr 2025