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Projects in Awesome Lists tagged with regression-model

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

https://github.com/bala-1409/price-prediction-for-used-cars-datascience-project

This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.

adaboost-regressor data-science kaggle-dataset machine-learning price-prediction regression regression-model supervised-learning used-cars-price-prediction

Last synced: 22 Mar 2025

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/mh0386/medical_insurance_cost_prediction

A Medical Insurance Cost Prediction Model

machine-learning regression-model

Last synced: 18 Feb 2025

https://github.com/pb319/segment-stream

A repository dedicated to the analysis of customer segmentation. This project aims to implement and evaluate various segmentation methodologies, drawing inspiration and techniques from current research in the field.

customer-segmentation hypothesis-testing jupyter-notebook kmeans-clustering matplotlib multivariate-analysis pandas plotly python regression-analysis regression-model seaborn sklearn statmodels

Last synced: 11 May 2025

https://github.com/zanottipaolo/sms1-regression

Case Study about air quality for Statistics 1 exam @ UniBg - Computer Engineering 2021/2022.

air-quality matlab regression-model statistics

Last synced: 04 Apr 2025

https://github.com/lukemercouris/loan_prediction

Loan Approval Prediction: Built binary classification model to predict loan approvals using financial and demographic data. Applied preprocessing and StandardScaler normalization. Used Gaussian Naive Bayes model achieving 92% recall for approvals, 74% accuracy, and 82% F1-score. Deployed via Flask web application.

machine-learning matplotlib pipelines python regression-algorithms regression-model seaborn sklearn streamlit

Last synced: 21 Feb 2025