GitHub topics: multiple-linear-regression

Repositories

Quantum-Software-Development/Integrated-Project-for-Business

Integrated Project for Business

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Pix3l79/Advertising-budget-optimizer

Media planning optimizer using CVXPY, modeling real-world advertising constraints and maximizing audience reach under budget.

Language: Python - Size: 18.6 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Devansh589/bitcoin_math

Zero dependency Bitcoin math implementation in C

Language: C - Size: 91.8 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Ludwing-MJ/Reg_multiple_EJ

Script y datos del ejemplo de analisis de regresion lineal multiple utilizado en el manual: Introducción al entorno de programación R y su aplicación en el análisis estadístico de datos.

Language: R - Size: 171 KB - Last synced at: 4 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

mmmmmtttttt/car-price-prediction

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical specifications.

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Rebecca-Calhoun/r_graduate_projects

R-based analytics projects including clustering, classification, and regression analysis for portfolio and coursework.

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Rebecca-Calhoun/sas_graduate_projects

Graduate-level SAS projects focused on time series forecasting, logistic regression, and classification modeling.

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JoyM268/sdmcet-aiml

Repository of all the programs taught in AIML Lab at SDMCET, 2025

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eyabesbes/Regression

Regression projects including simple linear and logistic regression implemented in both Python and R.

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jlaskow/Kaggle-House-Price-Predictions-in-Ames-Iowa

The following is a group Kaggle project using multiple linear regression models to predict housing prices in Ames, Iowa. The final Kaggle Score of all price predictions was 0.20623.

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jlaskow/Employee-Demographics-for-FritoLay

In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression

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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.

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IsaacSantous/Marketing-Promotion-MLR-Model-Leveraging-Python

In this project, I will analyse a small business's historical marketing promotion data. Each row corresponds to an independent marketing promotion where the business uses TV, social media, radio, and influencer promotions to increase sales. The objective is to find variables that predict sales.

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Joseph70234/Boston-Housing-Regression-Analysis

Linear regression analysis performed on Boston housing data.

Language: R - Size: 458 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

KasrAskari/Fuel-Consumption

Co2-Consumption Prediction Model

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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.

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pranav007123/Insurance-price-prediction

MLR-Multiple Linear Regression

Language: Python - Size: 21.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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.

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thaochu05/Multiple-regression-Predicting-Insurance-Charges

Using multiple linear regression, statistical analysis and visualization in predicting insurance charges

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acc25uom/climate_change

Software to calculate the direct and indirect effects of climate change on health and economy by using a multiple linear model

Language: R - Size: 32.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sarvkk/MachineLearning101

A summation of basic Machine Learning implementations on datasets.

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tekewin/used_cars_price_regressor

Used cars dataset (Kaggle) multiple regression model to predict price

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bgr8/Makine-ogrenmesi

Machine Learning with Python

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Edanur-Y/Agricultural-Yield-Prediction-with-Multiple-Linear-Regression

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

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guiarpi/LGBTQI-Hate-Crime-Analysis

Machine Learning analysis of LGBTQI+ hate crimes in the U.S

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VirginioC/modello-statistico-previsione-peso-neonati

Modello di regressione lineare multipla in R per prevedere il peso dei neonati basandosi su variabili cliniche. Include analisi esplorativa, selezione del modello e valutazione delle prestazioni.

Language: R - Size: 2.69 MB - Last synced at: 12 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

shgo/gamtl

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning

Language: Python - Size: 173 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 3

mohiteamit/bike-sharing-demand-linear-regression

Multiple Linear Regression | Bike Sharing Demand Prediction

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kb-open/CROMP

The official implementation of CROMP (Constrained Regression with Ordered and Margin-sensitive Parameters) along with experimental test pipeline

Language: Python - Size: 2.56 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

yrs-ago/NBA-Salaries-Prediction

Machine Learning project to predict NBA Salaries of a player based on factors such as PPG, Age, Win Shares, etc. using a multiple linear regression.

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Vinandra-Adam-Saputra/RealEstatePrediction-Streamlit

Data Science Course Project 2024 - UNIVERSITAS MARITIM RAJA ALI HAJI FAKULTAS TEKNIK DAN TEKNOLOGI KEMARITIMAN PROGRAM STUDI TEKNIK INFORMATIKA

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pngo1997/Predictive-Model-Data-Science-Salaries

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

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pngo1997/Multiple-Regression-and-Feature-Selection-Analysis

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

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arashsm79/applied-linear-algebra-lab

Collection of step-by-step programming exercises to introduce students to the applications of linear algebra.

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gmrandazzo/QStudioMetrics

A Comprehensive Software for Data Mining and Multivariate Analysis

Language: C++ - Size: 34.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 16 - Forks: 6

mr-kartal/ML_codes_CK

Machine learning code includes various regression techniques. By ↃK.

Language: Python - Size: 548 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AzizLike29/home-price-prediction

South Jakarta house price prediction

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ByronCaices/ESTADISTICA-INFERENCIAL

This repository contains notes and R code on key statistical topics, including inferential statistics, linear regression, multiple linear regression, and logistic regression. It provides a concise reference for understanding and applying regression models and statistical inference using R.

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jdfoster11/R_Key_Factors_of_Song_Popularity

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

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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.

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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.

Language: Python - Size: 37.1 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AbdirayimovS/Multiple_Regression_project

Apex team`s multiple regression project. It contains: What is Multiple Regression? Advantages and disadvantages of multiple regression, least square method and real implementation.

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hackermanrunzzz/Regression-Analysis-of-Tourism-Data

This repository contains an analysis of GDP using multiple linear regression and interaction modeling. It explores the influence of tourism-related factors such as tourism receipts, tourism exports, and their interactions on GDP. The project is implemented in Python and includes data preprocessing, model refinement, and interactive visualisations.

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daniela1484/FinalProject_Multiple_Linear_Regression

This research project explores the correlation between lifestyle choices and sleep efficiency, with the goal of creating a predictive model for sleep efficiency based on individual lifestyle factors. The project will employ a regression model derived from the field of Mathematical Modeling.

Language: Python - Size: 488 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

KadamVrushali/Multiple-Linear-Regression

This project analyzes global life expectancy data, exploring factors like adult mortality, alcohol consumption, GDP, and education to uncover trends and correlations that influence longevity. 🌍📊

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Akash-9832/Crime-rate-prediction-in-Afro-American-Society-using-Machine-Learning-Techniques Fork of deba607/Research_Paper_02-Crime-rate-prediction-in-Afro-American-Society-using-Machine-Learning-Techniques.

Crime rate prediction in Afro American Society using Machine Learning Techniques. Watch out the full paper: https://www.afjbs.com/issue-content/crime-rate-prediction-in-afro-american-society-using-machine-learning-technique-6330

Language: Python - Size: 419 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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.

Language: Python - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Udacity-MachineLearning-Internship/Multiple-Linear-Regression

Implementing multiple linear regression using sckit-learn

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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.

Language: Python - Size: 3.91 KB - Last synced at: 14 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

okayushi/Prediction-with-Multiple-Regression

Using Multiple linear regression to predict the profit of startups companies.

Size: 883 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

maxxhvo/Modelling_Climate_Change_Via_Indicators

Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle

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yane07/World-Happiness-Report

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

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farwaa-sr/Linear-Regression

This repository delves into fuel consumption data analysis using both simple and multiple linear regression models. We aim to uncover the relationships between various factors (independent variables) and fuel consumption (dependent variable).

Language: Jupyter Notebook - Size: 240 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

JaewonSon37/Data_Analysis_and_Regression1

Language: R - Size: 7.47 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

ccarlan98/Academic-Portfolio

Academic portfolio which showcases projects completed during my graduate studies

Language: R - Size: 10.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

AGhaderi/hDDM_attention

The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual decision-making using a multiple regression model

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 13 - Forks: 4

saumyaprasad07/Wine-Quality-Prediction-Analysis

In this project, we predict the quality of wines (target variable) based on various chemical attributes. The goal is to perform regression analysis using OLS, regression trees, SVR, and MLP models on a dataset, and then compare these models.

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ruoheng-du/thermal-expansion-error-prediction

Thermal Expansion Error Prediction | Summer 2023

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Andriamahay11master/MachineLearning

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

Language: Python - Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

nouran-19/Multiple-Linear-Regression-Analysis-on-Medical-Cost-Dataset

This project explores medical insurance costs by examining associations between multiple variables using linear regression analysis.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 3.54 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 5

majd30/Marketing-Mix-Modeling-project-with-Multiple-Regression

In order to inform decisions about an optimal marketing budget, the project uses multiple regression analysis to assess the impact of TV, radio, and newspaper ad budgets on Company X's sales.

Size: 2.19 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

tystan/codaredistlm

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

Language: R - Size: 150 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

Hadley-Dixon/CancerMortality

Multivariate least squares regression model that predicts cancer mortality rates for US counties

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 109 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

KashRamnath/PDAN8411_Task1_ST10117137_2023

Multiple Linear Regression - Real Estate Regression

Language: Jupyter Notebook - Size: 820 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

reddyprasade/Machine-Learning-With-R

Machine Learning in R

Language: HTML - Size: 10.5 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 10

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.

Language: Jupyter Notebook - Size: 197 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

MDavidHernandezP/MultipleLinearRegressionWebApp

This repository contains a Web App Project built with Flask that allows users to upload CSV files, clean those files, and then train a Multiple Linear Regression model to make predictions based on the user's inputs.

Language: Python - Size: 106 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ledoit/BMW-Pricing

Study analyzing BMW resale auction data using multiple linear regression, forward & backward variable selection, data transformation, and data validation

Language: TeX - Size: 2.06 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 2

iamkirankumaryadav/Scikit-Learn

Machine Learning Library for Predictive Data Analysis using Python

Language: Jupyter Notebook - Size: 815 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

ruoheng-du/multivariate-data-analysis

Multivariate Data Analysis | Spring 2023

Language: Python - Size: 22.7 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Beliavsky/Alan-Miller-Fortran

Classification of Alan Miller's Fortran codes for statistics and numerical methods

Size: 43 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

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.

Language: Python - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Yehiak/Linear-Regression

This project uses linear regression with gradient descent to predict profit based on customer numbers. It includes data visualization, cost computation, and optimization, with an option to extend to multivariate regression. The implementation is in Python.

Language: Python - Size: 9.77 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

kbzh2558/Regression_Analysis_on_the_Factors_Affecting_the_Monthly_Spending_of_Desautels_Students

A statistical analaysis over the monthly spending of Desautels students. The project includes exploratory data analysis, hypothesis testing, and multiple regression model building.

Size: 492 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

bmshah/test_repository

This repository contains an academic project developed in jupyter notebook using python language and machine learning algorithms.

Language: Jupyter Notebook - Size: 351 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Anitatorki/ML_with_Python

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

shimonyagrawal/BU-MET-AD699-Data-Mining

This repository contains coursework for the Data Mining course in the MS Applied Business Analytics program at Boston University.

Language: R - Size: 2.98 MB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

AmbreenMahhoor/Multiple-Linear-Regression

Language: Jupyter Notebook - Size: 30.3 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

nitin6753/Fare_Prediction_NYC-TLC

NYC TLC wants to predict the fare prices of the taxicab before ride. A multiple linear regression model is built based on features like ride distance, duration, no. of passengers, Vendor ID, and ride location.

Language: Jupyter Notebook - Size: 5.03 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

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.

Language: R - Size: 16.3 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

BNTechie/Regression_analysis

house price prediction, Comparison of Ml algorithm, Logistic regression, Multicollinearity, Multivariate regression analysis, Linear model with random effects, Robust regression

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

atmaram-kambli/Regression-in-ML

simple linear regression

Language: Jupyter Notebook - Size: 173 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

subhanjandas/Predicting-Housing-Prices-Using-Multiple-Linear-Regression-and-k-NearestNeighbours-kNN

The goal was to accurately estimate the value of real estate and uncover relevant factors that directly influence property prices. The study used two different models, multiple linear regression and k-Nearest Neighbours (kNN), to predict housing prices.

Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: 3 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 2