GitHub topics: regression-model | Ecosyste.ms: Repos

bellabluebird/covaris_protocol_builder

rshiny analysis app for covaris, designed to output protocol recommendations for dna shearing

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RozhakDev/HousePriceML

API berbasis Flask untuk prediksi harga rumah menggunakan model machine learning. Membantu integrasi model secara real-time dengan fitur health check dan endpoint prediksi. Cocok untuk template deployment machine learning.

Language: Python - Size: 43.9 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

jdiaz555/Salary-Prediction-using-Traditional-ML-Techniques.

Predict salaries from years of experience using machine learning (Linear Regression, Random Forest) with Streamlit, Pandas, scikit-learn, and visualizations. :octocat:

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nabilalibou/Uber_Fare_Prediction_Explained

This repository documents a complete ML workflow to model Uber fares in Paris, from granular EDA and feature engineering to building and fine-tuning a stacking regressor on 10k real-world rides.

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Victor-Lis/Regression-AI-Model-Analysis

Language: Python - Size: 107 KB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

sharvesh1401/Inverse-design-patch-antenna

A machine learning approach to the inverse design of microstrip patch antennas by predicting optimal physical dimensions from desired performance metrics.

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Zubair-hussain/Salary-Prediction-using-Traditional-ML-Techniques.

A simple and effective machine learning project that predicts salaries based on years of experience using linear regression. Includes data preprocessing, model training, evaluation, and deployment via Streamlit.

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Basil-Shitemi/Bulldozzers-Regression-Project-_Basil

This Regression project involves creation of a model that predicts the prices of bulldozzers from their features and previous sale prices. The data is obtained from Kaggle, as part of competition. I did optimized RandomForestRegressor in model creation

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Alzamna/Streamlit_CarPricePrediction

Aplikasi ini adalah sebuah web sederhana untuk prediksi harga mobil menggunakan model Machine Learning yang telah dilatih sebelumnya.

Language: Python - Size: 14.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

kshitijabanala/Projects

This is a compilation of my data science projects.

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oniXip/Laptop-Cost-Evaluation-Project

Predict laptop prices quickly with our web app. Input specs like brand and CPU for instant estimates. Explore the code on GitHub! 🖥️🚀

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SQUADRON-LEADER/EcoPredict-AI

EcoPredict AI is a powerful, AI-driven solution for predicting Greenhouse Gas (GHG) emissions based on user-input industry data. Designed for environmental sustainability initiatives, EcoPredict AI utilizes machine learning models to deliver accurate carbon emission predictions and is deployed via Streamlit for real-time access.

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Kratugautam99/Laptop-Cost-Evaluation-Project

Laptop Cost Evaluator A fast, user-friendly web tool that predicts the market price of a laptop based on key specs like brand, processor, RAM, and storage. Just enter the details on a sleek, single-page form, and get an instant price estimate thanks to a smart backend powered by machine learning.

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mukulsinghal001/USA-Housing-Price-Prediction

In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

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Avinraj01/SHL-Grammar-Scoring-Engine-for-Voice-Samples

This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.

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AhsanYaqoob/House-Price-Prediction

A web-based house price prediction system using machine learning. Users can input house details like area, city, BHK, and furnishing status to get a real-time price prediction. Built with Python, Flask, and a trained regression model.

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hasanulmukit/EcoSphereAI Fork of mmfarabi/EcoSphereAI

EcoSphereAI is a sustainable, AI-driven platform optimizing connectivity systems with features like energy optimization, predictive maintenance, and sustainability reporting. Build the future of efficient and green networks!

Language: Python - Size: 35.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

avinesh-masih/Crypto-Liquidity-Prediction

A machine learning project that predicts cryptocurrency liquidity using regression models, featuring data preprocessing, EDA, model training, and a Streamlit web app for real-time predictions.

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tylerho5/movie-recommender-system

Language: Python - Size: 895 KB - Last synced at: 3 months ago - Pushed at: 3 months 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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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.

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MohammedAazam/Used-Car-Price-Prediction-App

A machine learning web application that predicts used car prices based on brand, age, and mileage using linear regression models. Built with Streamlit for an interactive, user-friendly interface and data visualization.

Language: Python - Size: 163 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Sunjida-Haque/boston-housing-price-analysis

University project analyzing key factors affecting house prices using statistical models in MATLAB

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Ibraddah/SHL-Grammar-Scoring-Engine-for-Voice-Samples

This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.

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jared-fowler/prettyglm

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

Language: R - Size: 17.5 MB - Last synced at: 27 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 2

ahmetozlu/nonlinear_regression_keras

Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.

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ArnauCS03/genetic-algorithm-maze-solver

Implementation of a Genetic Algorithm (GA) for solving a maze. This project was developed as part of the Applied Artificial Intelligence course at Blekinge Institute of Technology (BTH), Sweden.

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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.

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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.

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cmnemoi/OWREstimator

An app allowing you to predict the best possible time possible for a game speedrun.

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arthur-bouton/ModelTree

Oblique and straight model trees for regression

Language: Python - Size: 1.51 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

stepeter/naturalistic_arm_movements_ecog

Analysis of human behavioral and neural variability during naturalistic arm movements. Replicates the findings in our preprint: https://www.biorxiv.org/content/10.1101/2020.04.17.047357v2

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prince-pastakiya/finance-dashboard

A responsive Finance Dashboard with the predicted revenue functionality of machine learning.

Language: JavaScript - Size: 116 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

clementreiffers/clementreiffers-linear-regression

a npm package to compute linear regression in javascript

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sovrasov/3d-object-detection.pytorch

Language: Python - Size: 318 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 4

delaykimm/kaggle

Code of Kaggle Projects

Language: Python - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

PUCP-project/carbon-estimation-deep-learning

Carbon Stock Estimation in Agricultural and Livestock Landscapes

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Asma-Rashidian/Predicting-Cancer-and-Liver-Disease-Using-NHANES-Dataset

The goal of this project is to build regression models to predict the occurrence of cancer and liver disease using the National Health and Nutrition Examination Survey (NHANES) data.

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kenanmorani/Enzyms_in_food_predictive_modelling

Volunteer Work

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Pratik94229/Diamond-Price-Prediction-End-to-End-Project

This project focuses on developing a machine learning model to predict the price of diamonds based on various attributes. By analyzing a dataset that includes information about the carat weight, cut, color, clarity, and other factors, we aim to create a model that can accurately estimate the price of diamonds.

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LaurentVeyssier/Bike-sharing-Usage-Prediction-with-Neural-Network

Use a neural network to predict daily usage and capacity requirement for a bike sharing business

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subashksf/housing-price-prediction

Housing price prediction regression model

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karthik-d/rna-protein-autoencoder

Prediction of surface protein expression from mRNA expression using a regression auto-encoder neural network.

Language: Python - Size: 1.83 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sakib1263/VGG-1D-2D-Tensorflow-Keras

Models Supported: VGG11, VGG13, VGG16, VGG16_v2, VGG19 (1D and 2D versions with DEMO for Classification and Regression).

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Victor-Lis/Regression-AI-Model-Practice

Language: Python - Size: 193 KB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Azie88/Estimated-Time-of-Arrival-ETA-Prediction

Creating an ML model to predict the estimated time of arrival at the dropoff point for a single journey on a ride-hailing app.

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alikhawaja1/Regression-Models

Different regression models of development indicators using E Views & R

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kaiquefreire05/polynominal-regression

- My tests using polynomial regression.

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PushpitKumar/BankNoteAuthentication

End to End project using ML to authenticate banknotes. Click the link. https://banknoteauthenticator99.herokuapp.com/apidocs

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PushpitKumar/MarriagePrediction

End to End project using ML to predict the age of marriage. Click the Link: https://marriagepredictor99.herokuapp.com/

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PushpitKumar/CarPricePrediction

End to End project using ML to calculate selling price of used cars. Click the Link. https://carpricepredictor99.herokuapp.com/

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PushpitKumar/FlightPricePredictor

End to End project using ML to calculate Flight Fare. Click the Link. https://flightpricepredictor99.herokuapp.com/

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xre22zax/Linear-regression-website-sample

Linear regression and prediction for website

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Jchow2/python-gaming-anxiety-classify-mentality

How does gamer habits affect their psychological well-being? Interested in the relationship between gaming habits and demographic information on their anxiety, life satisfaction, and social phobia.

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Pratik94229/Bike-Sharing-Demand-Prediction-End-to-End-Project

This project aims to develop a machine learning model that predicts the demand for bike sharing in a given location. By analyzing historical data on weather conditions, day of the week, and other factors, we aim to create a model that can accurately forecast the number of bikes that will be rented at different times.

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lschwenke/GraphNodeAttention

This is the experiment code for the publication "Identifying Informative Nodes in Attributed Spatial Sensor Networks using Attention for Symbolic Abstraction in a GNN-based Modeling Approach".

Language: Python - Size: 3.59 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

rahul-raoniar/housepricing-docker-heroku-deployment

This repo includes the deployment code for house price prediction model

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dheerajpoonia29/athleteInjuryRecoveryPrediction-projectMlSih

Machine learning-based application for predicting the injury recovery time period a sports person based on injury type and diet plan.

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rachitamehta/Bay-Area-Housing-Market-Quantitative-Research

Impact of H1B visa workers on Bay Area Housing Prices

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FadekemiAkinduyile/Salary-Prediction-Regression-Project

Data Analysis and Machine Learning Project

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cltl/a-proof-zonmw

Detecting the functioning level of a patient from a free-text clinical note in Dutch.

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GZHU-Image-Lab/NBIQA

A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS

Language: MATLAB - Size: 1.92 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 12 - Forks: 5

Ishan-Kotian/BIL_Project-Life_Expectancy_Prediction

Life expectancy, an estimate of the number of remaining years of life a person has, is an important consideration for making clinical decisions in primary care. Predicting Life Expectancy helps analyze the average lifespan of the countrymen which helps in making crucial health decisions.

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nemolino/TrackPopularityPredictor

Statistical Methods for Machine Learning project

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Sampad-Hegde/PUBG-Data-Analysis

This Project tells about impact of gameplay on winning percentage

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koulkoudakis/tf-neural-network-regression

Demonstrates neural network regression modeling using TensorFlow

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koulkoudakis/heavy-equipment-price-predictor

Machine learning model used to predict the auction sale price of heavy equipment based on previous records

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MH0386/medical_insurance_cost_prediction

A Medical Insurance Cost Prediction Model

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rhiskey/InstagramRegressionAnalysis

Comparative regression analysis of Instagram impressions

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mrm8488/fuel-prediction-tfjs

Example of training a regression model and use it for fuel prediction (tfjs and vanilla JS)

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AshNumpy/Regression-Analysis-for-Car-Company

This project is a study that performs statistical regression analysis for a car buying, selling, and rental company and predicts the total revenue using multiple linear regression based on the analysis

Language: R - Size: 423 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

camilamaestrelli/Wage-Prediction-a-Regression-Competition

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camilamaestrelli/Demand-Forecasting-Regression_Competition

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pranavrode/Laptop-Price-Predictor

This project works on data of different laptop features according to various specifications of laptop brands. I have done feature engineering on data and have build different chine Learning models to achieve maximum accuracy and chosen best ML algorithm for best predictions. This project is build to predict price of laptop as per specifications.

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rainaa0277/House-Price-Prediction-using-Linear-Regression

For a real estate firm, building a house price prediction model based upon various factors. Problem - Regression | Algorithm used -Linear Regression using OLS

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karnjj/sed-young-wa

A service for estimating the end of the issues submitted in the Traffy fondue platform.

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rrambhia22/Predictive_Analytics

Implementation of multiple projects related to Predictive Analytics.

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JAKLIZ-FIT/dsml_project

Student Project at HFU university for course Data Science and Machine Learning, Summer semester 2023

Language: Python - Size: 9.34 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

PRiauwindu/California-School-Dataset-Exploration

Exploring the relationship between student test scores in California public schools with several factors using Multiple Linear Regression method.

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DevVladikNT/KernelRegression

My realization of kernel regression.

Language: Python - Size: 6.15 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ijrios/machine_learning_regression

Multivariate lineares regressus, doctrina de machina

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contepablod/MLRegAlgO-G

MLRegressionsAlgorithmsO&G

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sonikaboyapally/Projects

Personal Projects

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adityarc19/IPL-player-value-prediction

This repo is maintained for a web app that lets you predict 'value' of an IPL player based on some player statistics.

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ginny100/ANN-for-Regression

CSCI 4371: Machine Learning - Final Project

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bissessk/Regression-Analysis-of-COVID-19

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.

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niheon/machine-learning

Machine learning projects to showcase applications of ML in various industries/disciplines/fields

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yashwanth-javvaji/covid-cases-predictor

"Covid Cases Predictor" is a web app that predicts Covid-19 cases and deaths based on country and date using a linear regression machine learning model. It uses Flask, Pandas, Numpy, Scikit-learn, and Our World in Data for data. The app provides predicted numbers on a website, however, it is recommended to take the predictions with caution.

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