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Projects in Awesome Lists tagged with regression-analysis

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

https://github.com/code-pushup/cli

A CLI to run all kinds of code quality measurements to align your team with company goals

analytics analyzer audit automated-testing conformance gatekeeper kpi quality-control regression-analysis static-analysis

Last synced: 17 Jan 2026

https://github.com/tatevkaren/mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

bootstrap canonical-correlation clustering data-imputation dimensionality-reduction factor-analysis-methods importance-sampling inverse-transform-method linear-regression monte-carlo-simulation pca-analysis probability-distribution python3 r regression-analysis rejection-sampling statistcal-tests

Last synced: 10 Apr 2025

https://github.com/andy489/empirical_methods_and_statistics

Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.

expectations hypothesis hypothesis-testing moments r regression regression-analysis regression-testing statistics

Last synced: 17 Sep 2025

https://github.com/cyberscribe/d20datascience

Data science investigations into the mechanics of the world's greatest role playing game

datascience machine-learning regression-analysis role-playing-game roleplay roleplaying-game

Last synced: 15 Jul 2025

https://github.com/hyperfoil/horreum

Benchmark results repository service

benchmark npm performance quarkus regression-analysis repository

Last synced: 06 Apr 2025

https://github.com/ammarlodhi255/student_performance_indicator_end-to-end_implementation

An end-to-end machine learning project, student performance indicator. The goal of this project is to understand the influence of the parents background, test preparation, and various other variables on the students performance.

aws cd-pipeline data-analysis data-science data-science-projects eda end-to-end-machine-learning machine-learning machine-learning-projects regression regression-analysis

Last synced: 27 Sep 2025

https://github.com/manikantasanjay/crop_yield_prediction_regression

Crop Yield Prediction using various ML approaches - Random-Forest Regressor, Gradient-Boosting Regressor, Decision-Tree Regressor, Support-Vector Regressor

crop-yield-prediction data-science decision-trees gradient-boosting random-forest regression-analysis support-vector-machines

Last synced: 11 Apr 2025

https://github.com/shuyib/data-version-ctrl

Data version control with Makefile and DVC for a regression task to estimate insurance costs for certain individuals.

continuous-training data-version-control datascience docker dvc insurance-cost jupyter-notebook machinelearning makefiles mlem python regression-analysis

Last synced: 28 Feb 2026

https://github.com/saniyaabushakimova/predicting-life-satisfaction-rate-with-multiple-linear-regression

Analyzed what factors influence the level of satisfaction of people living in developing countries. The analysis contained predictor subset selection with VIF, Mallow’s Cp and BIC scores, model validation, and remedial measures. The model performance was evaluated based on hypothesis testing. Tech: R (RStudio)

r regression-analysis rmarkdown

Last synced: 22 Apr 2026

https://github.com/sai-123-code/jobathon_feb2022

Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. You can be among them too! At JOB-A-THON, all Data Science enthusiasts, freshers and professionals will get the opportunity to showcase their skills and get a chance to interview with top companies for leading job roles in Data Science, Machine Learning & Analytics.

competition data-science jobathon machine-learning r2-score random-forest-regression regression-analysis

Last synced: 08 Feb 2026

https://github.com/cyberoctane29/tiktok-claims-classification-end-to-end-analysis-and-modeling

This project analyzes TikTok videos to classify claims vs. opinions using Python. It includes EDA, statistical tests, logistic regression, and ML models (Random Forest, XGBoost) to support content moderation. Built with pandas, scikit-learn, and Tableau, the solution helps TikTok automate content review and enhance moderation efficiency.

content-moderation data-analytics data-visualization eda ethical-artificial-intelligence feature-engineering machine-learning regression-analysis statistical-analysis supervised-learning tiktok tiktok-data

Last synced: 22 Apr 2025

https://github.com/palday/boxcox.jl

Box-Cox transformation in Julia

box-cox-transformation regression-analysis

Last synced: 14 Aug 2025

https://github.com/bullet-ant/wind-energy-power-prediction

A web application that shows the estimated wind energy that could be generated in a wind-farm considering the wind speed,wind direction and time of the day. The time series plots the estimations for next 24 hours.

machine-learning python regression-analysis time-series

Last synced: 30 Jan 2026

https://github.com/jared-fowler/prettyglm

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

classification classification-model data-science data-visualization glm linear-models r r-package regression regression-analysis regression-model regression-models rstats rstats-package statistical-models

Last synced: 23 Apr 2025

https://github.com/nano-bot01/house-price-prediction-regression-xgboosting-

A XGBRegression based model for predicting price of house based on trained dataset.

ankit-nainwal ipnb juypter machine-learning ml nano-bot01 python regression regression-analysis xgboost

Last synced: 16 May 2026

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/efficientgoose/laptop-price-predictor

"Laptop Price Prediction" is a GitHub repository containing codes and datasets for a machine learning model that estimates the price of a laptop based on its specifications.

linear-regression machine-learning ml-project regression regression-analysis

Last synced: 14 Apr 2025

https://github.com/paulnorthrop/gamlssx

Generalised Additive Extreme Value Models for Location, Scale and Shape

extreme-value-statistics extremes generalized-additive-models regression regression-analysis

Last synced: 16 Apr 2025

https://github.com/sayamalt/health-insurance-claim-prediction

Successfully established a machine learning model which can estimate the net health insurance claim of an individual based on a set of characteristics of that individual to an appreciable level of accuracy.

exploratory-data-analysis feature-engineering feature-scaling machine-learning model-deployment regression-analysis regression-testing

Last synced: 09 Nov 2025

https://jared-fowler.github.io/prettyglm/

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

classification classification-model data-science data-visualization glm linear-models r r-package regression regression-analysis regression-model regression-models rstats rstats-package statistical-models

Last synced: 25 Nov 2025

https://github.com/babaq/eppr.jl

The Extended Projection Pursuit Regression

regression regression-analysis regression-models

Last synced: 23 Oct 2025

https://github.com/akshayreddykotha/regression-analysis-in-excel

A basic multiple regression model fit and evaluated with respect to all the assumptions required for it to be a good fit. The analysis is from a prediction-making point of view.

linear-regression ms-excel regression-analysis

Last synced: 19 Mar 2026

https://github.com/darkeyes/mrreg

The framework for finding multiresolution partitions that have homogeneous linear models from multiresolution dataset.

data-science minimum-description-length multiresolution r regression-analysis

Last synced: 04 Apr 2025

https://github.com/fitushar/image_pixel_recovery_with_lesso_regression

The objective of this mini-project is to Recover a full image from a small number of sampled pixels (compressed sensing). Although the primary goal of this project is to understand and explore the application of regularized. In the process of recovering image pixel using regularized regression, we will explore different concepts and their understanding as following: Understanding how regression can be applied in 2D image analysis domain. Understanding of the discrete cosine transforms (DCT) to define an image in a frequency domain. Explore the importance and application of cross validation in model tunning and hyper-parameter selections. Understanding the impact of applying filtering approach such as median filter on reconstructed image Finally, quantitively evaluating the quality of removed image.

comprssed-sensing image machine-learning optimization pixel-recovery regression-algorithms regression-analysis

Last synced: 15 Jun 2025

https://github.com/singhxtushar/client-retention-insight

Client-Retention-Insight is a churn classification project to predict whether the customer will Exited or not using the ANN implementation by tensorflow. We have also performed regression on the EstimatedSalary feature and done the HyperparameterTunning to find the best possible parameters for the model.

ann-model binary-classification churn-prediction hyperparameter-tuning keras regression-analysis streamlit tensorflow

Last synced: 19 Feb 2026

https://github.com/saba-gul/exploratory-data-analysis-and-statistical-analysis-notebooks

This repository contains a collection of Jupyter Notebooks for conducting Exploratory Data Analysis (EDA) and Statistical Analysis on various datasets.

colab-notebook exploratory-data-analysis jupyter-notebooks machine-learning-algorithms outlier-detection outlier-removal regression-analysis statistical-analysis statistics-for-data-science

Last synced: 26 Jul 2025

https://github.com/psyplot/psy-reg

Psyplot plugin for visualizing and calculating regression plots

data-science matplotlib netcdf psyplot regression-analysis statsmodels visualization xarray

Last synced: 15 Mar 2026

https://github.com/ondrejhruby/airbnb-analysis-machine-learning

A comprehensive end-to-end machine learning project analyzing Airbnb listings data. This project includes exploratory data analysis, model training, optimization, and model interpretability, using a randomly generated dataset for demonstration purposes.

airbnb-data data-science data-visualization exploratory-data-analysis hyperparameter-tuning machine-learning model-interpretability python regression-analysis

Last synced: 20 Jul 2025

https://github.com/adarsonmez/forecasting-car-sales

This JAVA application reports how much your product will be sold in each month of the next two years, using 4 different forecasting methods according to the monthly sales data of the products you have entered in the last two years.

car-sales deseasonalized-regression-analysis double-exponential-smoothing exponential-smoothing foracast regression-analysis

Last synced: 12 May 2026

https://github.com/shelton-beep/predicting-gpa-using-lifestyle-factors

Predicting student GPA using lifestyle factors like study habits, sleep, and stress levels. A machine learning model built to help students and educators understand the impact of lifestyle choices on academic performance.

data-analysis data-preprocessing data-science feature-engineering gpa-prediction machine-learning model-interpretability predictive-modeling python regression-analysis student-performance xgboost

Last synced: 04 May 2026

https://github.com/himel-sarder/ml-exercise-sales-prediction-advertising-simple-linear-regression

This project analyzes Kaggle's Advertising Dataset to predict sales based on advertising budgets for TV, Radio, and Newspaper. Using linear regression, it explores relationships between spending and sales, evaluates model performance, and provides actionable insights for data-driven marketing decisions.

linear-regression machine-learning machine-learning-algorithms machinelearning ml regression-analysis regression-models sales-prediction sales-prediction-using-python simple-linear-regression

Last synced: 19 Jun 2026

https://github.com/shgopher/dingdang

各种工具大全讲解：git ddd okr devOps 正则表达式 debug auth 测试 重构技术 线上快速排障

auth authentication ddd debug devops git okr regression-analysis

Last synced: 30 Apr 2026

https://github.com/sohhamseal/help-me-with-my-data

A website to help users view, verify and modify data for preprocessing and apply various classical ML algorrithms

correlation-analysis data-transformation data-visualization descriptive-analysis exploratory-data-analysis k-means-clustering regression-analysis

Last synced: 19 Mar 2026

https://github.com/sayamalt/black-friday-sales-prediction

Successfully established a machine learning regression model which can estimate the gross Black Friday sales for a particular customer, based on a distinct set of related and meaningful features, to a fair level of accuracy.

artificial-neural-networks data-visualization deep-learning exploratory-data-analysis feature-engineering machine-learning model-deployment model-training-and-evaluation regression-analysis regression-modelling regression-testing supervised-learning

Last synced: 09 Nov 2025

https://github.com/apdo60311/regression-analyzer

A web application built using the Flask framework, designed to analyze and visualize data related to global happiness. The application allows users to upload multiple datasets, preprocess the data, select a machine learning model, train the model, and evaluate its performance.

flask regression regression-analysis

Last synced: 10 Feb 2026

https://github.com/gre1wy/mathmod

KPI IPT course, 5 semester

cleaning-data regression-analysis

Last synced: 17 Oct 2025

https://github.com/mahnoorsheikh16/impact-of-minimum-wage-policies-on-youth-unemployment

This study will be an attempt to analyze what impact minimum wage has upon youth unemployment in Pakistan, a country having the world's ninth largest labor force, with 4 million young people reaching working age each year, and how it compares to the required living wage.

anker-methodology data-cleaning exploratory-data-analysis labour-economics linear-regression living-wage-calculator minimum-wage-data policy-analysis pre-processing r-language regression-analysis unemployment-analysis

Last synced: 19 Mar 2026

https://github.com/tsu2000/sgx_ols_perf

A Shiny web app showcasing multiple OLS regressions on SGX company financials to identify key profitability drivers.

econometrics financial-analysis r-shiny regression-analysis singapore-stocks

Last synced: 28 Jun 2025

https://github.com/deliprofesor/ridge-regression-for-sales-prediction-model-evaluation-and-hyperparameter-tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

cross-validation data-science data-visualization grid-search machine-learning model-optimization mse overfitting-prevention polynomial-regression python r2-score regression-analysis regularization ridge-regression rmse scikit-learn

Last synced: 03 May 2026

https://github.com/chabon6/ml_for_esgdecision

以爬蟲蒐集額外資料後，透過機器學習預測車輛之碳排放量。

automation machine-learning regression-analysis webscraping

Last synced: 27 Feb 2025

https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression

The ultimate business objective is to leverage the regression model to provide accurate predictions of the closing price of AMRN stock, enabling stakeholders to make well-informed investment decisions, manage risks effectively, optimize portfolios, Early warning systems to alert any fraud cases and align investment strategies with financial goals.

datapreprocessing eda hypothesis-testing machine-learning numpy pandas python random-forest regression regression-analysis statistics

Last synced: 12 Apr 2026

https://github.com/mahnoorsheikh16/estimating-aggregate-import-demand-function

To test whether the economic theory for imports, real GDP and relative prices holds in real life scenario, this study analyses the extent of association between the variables through regression analysis. The paper can be used to assess the difference in impact of global events on GDP and import volume.

autocorrelation breakpoint-detection chow-test correlation-analysis cross-sectional-data economics-models f-test imf-data log-log-graphs policy-analysis ramsay regression-analysis spss-statistics time-series-analysis wald-test

Last synced: 19 Mar 2026

https://github.com/zuzann18/clinical-data-processing

R scripts to process clinical trial data using the CDISC SDTM and ADaM standards. It automates the transformation of raw clinical data into structured SDTM datasets (e.g., DM, AE, VS domains) and analysis-ready ADaM datasets (ADSL, ADAE, ADVS). The project includes statistical summaries, descriptive analytics, and viz

adam descriptive-statistics r regression-analysis sdtm

Last synced: 10 Aug 2025

https://github.com/redhat-plumbers-in-action/regression-sniffer

🐶 Loyal GitHub action that sniffs out any follow-up and revert commit of your cherry-picked commit

github-action regression-analysis typescript validation

Last synced: 25 Jul 2025

https://github.com/radhikareddy-chintareddy/exploratory-data-analysis-and-regression-for-property-pricing

This project analyzes property listing data to uncover trends and predict property prices using regression modeling. Key steps include exploratory data analysis (EDA), data cleaning, multicollinearity checks, and model evaluation using metrics like RMSE.

data-visualization exploratory-data-analysis python regression-analysis rmse-score statistical-analysis

Last synced: 24 Apr 2026

https://github.com/sreejabethu/forecasting-weather

Weather Forecasting using OpenWeatherMap API and Random Forest Regressor in Python. Converts temperature data to Fahrenheit, and provides visualizations for actual vs predicted temperatures.

api matplotlib openweathermap-api plotly-python python random-forest regression-analysis visualization weather-forecast

Last synced: 19 Apr 2026

https://github.com/mgjho/xrfit

Model Based Fitting on Xarray

fitting regression regression-analysis

Last synced: 07 Apr 2026

https://github.com/aaryan-agr/crime-and-housing-analysis

This project analyzes crime data and its impact on the Housing Price Index (HPI) across various U.S. cities. Using regression modeling and exploratory data analysis (EDA), the goal was to identify key socio-economic factors influencing crime rates and HPI trends over multiple years.

data-preprocessing data-visualization eda r regression-analysis statistical-learning statistics

Last synced: 02 Nov 2025

https://github.com/rudrowo/weather-and-power-analysis

Analyzing correlation between various weather variables and power consumption in Bangladesh

machine-learning regression-analysis web-scraping

Last synced: 18 Mar 2025

https://github.com/sureshbeekhani/gemstone-price-prediction

The Gemstone Price Prediction project aims to predict gemstone prices using a machine learning approach. The project involves various steps such as data ingestion, transformation, model training, and deploying the model through a Flask web application.

data-science machine-learning predictive-modeling regression-analysis

Last synced: 28 Mar 2025

https://github.com/samdewriter/pharmaceuticalsales-prediction

Pharmaceutical sales prediction across multiple stores. The finance team at Rossman Pharmaceuticals wants to forecast sales in all their stores across several cities six months ahead. This project is an approach to carry out the task

deep-learning long-short-term-memory random-forest regression-analysis streamlit-webapp

Last synced: 21 Jul 2025

https://github.com/aidanastridge/canadian-honey-industry

Production and value of Canadian honey from 1924 to 2021

arima forecasting regression-analysis statistics-canada time-series vars

Last synced: 25 Mar 2025

https://github.com/smabdullah/sound-pressure-level-prediction

A regression model to predict the sound pressure level

bokehplots regression-analysis regression-models

Last synced: 02 Jan 2026

https://github.com/sarahm44/currency-forecasting

Predicts future movements in the value of the Canadian dollar versus the Japanese yen using Time Series Modelling and Regression Analysis.

arima arima-model arma arma-model currency fintech forecasting forex-prediction garch garch-model regression-analysis regression-models time-series-analysis

Last synced: 30 Oct 2025

https://github.com/jenil311/application-of-covid-19-spread-analysis

The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.

covid19-tracker machine-learning regression-analysis regression-models ridge-regression scikit-learn

Last synced: 02 Jan 2026

https://github.com/a-mardi/lies-damn-lies-and-statistics

C++ CLI utility for regression analysis on number set .csv files

cpp regression-analysis stl

Last synced: 27 Mar 2025

https://github.com/chunche95/intromachinelearning

Introduccion a Machine Learning: Sistemas de regresión & clasificación, algoritmos de clusterización, sistemas de recomendación, Machine Learning. Autor: Paulino Esteban Bermúdez R.

bermudez clasificacion clustering-algorithm github machine-intelligence machine-learning machine-learning-algorithms machine-translation machinelearning-python paulino regresion regression-analysis regression-models

Last synced: 12 Apr 2026

https://github.com/victory-ik/supportive-leadership-and-employee-satisfaction-and-performance

Using data from the European Working Conditions Survey (EWCS) 2015, this research explores how supportive leadership impacts employee well-being, with work engagement serving as a mediating factor.

composite-measure correlation-analysis cronbach-alpha data-filtering data-transformation data-visualization exploratory-data-analysis mediation-analysis r regression-analysis

Last synced: 13 Jul 2025

https://github.com/rodrigorvsn/ac2-spark-big-data

📚 Project implementing AI with Spark in a dataset for AC2 of Big Data

ai big-data docker python regression-analysis spark

Last synced: 18 Apr 2026

https://github.com/2003harsh/laptop-price-predictor

"Laptop Price Predictor 🎮🔍 - ML-driven app using Random Forest Regressor. Predict prices based on features like RAM, memory, and processor. Achieved R2 score of 90%. Built with Scikit-learn, Pandas, and Numpy. #MachineLearning #DataScience #Streamlit 🚀"

machine-learning-algorithms pandas random-forest regression-analysis

Last synced: 02 May 2026

https://github.com/cyberoctane29/salifort-motors-predicting-employee-turnover-and-improving-retention-analysis-and-modeling

In this project, I work as a data analytics professional at Salifort Motors, a fictional leader in alternative energy vehicles. I analyze employee survey data to identify turnover drivers and build predictive models, including multiple logistic regression, decision trees, and random forests, to forecast attrition and support retention strategies.

data-analytics data-visualization decision-trees eda employee-attrition ethical-artificial-intelligence feature-engineering logistic-regression machine-learning random-forest regression-analysis statistical-analysis supervised-learning turnover-analysis

Last synced: 09 Jul 2025

https://github.com/wittyicon29/kaggle-paris-housing-price-prediction-

Paris Housing price prediction is a part of Kaggle's Playground Series. The model is trained using the Random forest algorithm in scikit learn. The dataset consists of Paris housing prices based on various features

regression regression-algorithms regression-analysis scikitlearn-machine-learning

Last synced: 27 Jun 2025