GitHub topics: xgboost-regression

PeterDingVN/ML-Finance-VietnameseListedFirms

One-step-ahead forecast ROA, ROE, Revenue, EBITDA, Value-added from over 1500 Vietnamese listed companiese

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AlexHuc/food-allergy-analysis

Supports early detection of asthma in at-risk patients, improving care and reducing emergency interventions.

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danielsaed/futbol_corners_forecast

Machine learning XGBoost regresison model that predicts corners from football matches

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chloelinli/image-classification

Practice with ML algos

Language: Python - Size: 205 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Imtiazsalaf-01/PREDICT-HOUSE-PRICES-USING-MACHINE-LEARNING

As part of Week 1 of the WeIntern program, the "House Price Prediction" project applies machine learning to forecast housing prices. Using Python libraries like NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, and XGBoost, it delivers an end-to-end, data-driven solution for accurate price estimation.

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shaizamkhan/Supply_Chain_Risk_Prediction

Two-stage SARIMAX-XGBoost pipeline achieving RMSE 0.0273 and diagnosing a 5.1hr structural supply chain bottleneck

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jvkloc/XGBoost-nowcasting-for-SMR-and-Pc5-ULF

XGBoost models for nowcasting SuperMAG ring current and Pc5 ultra low frequency indices.

Language: Python - Size: 84 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

amanop29/smart-traffic-management-mlops

Smart Traffic Management with ML - Traffic volume prediction & accident risk assessment using XGBoost, LightGBM, MLflow & Docker

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DanielDemoz/customer-segmentation-clv

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Narendersingh007/motogp-laptime-predictor

End-to-end ML project: Predicts MotoGP lap times using XGBoost. Deployed as a Streamlit app with real-time predictions & analytics. Burnout 2025 Finalist.

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sorna-fast/laptop-price-prediction-ml

About This is a project on the laptop store dataset to predict laptop prices. Random Forest and XGBRegressor machine learning models are used.

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sadiaahsan160/Machine-Learning-for-Energy-Management

A machine learning project to predict household energy consumption using historical smart meter data. Implements data preprocessing, XGBoost regression, and performance evaluation with RMSE, MSE, and MAE metrics.

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NATObro1/Airbnb-Price-Prediction

🏠 Predict Airbnb prices using regression models to help hosts set optimal rates and assist guests in finding fair deals based on key features.

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esvs2202/Concrete-Compressive-Strength-Prediction

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

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ArianJr/AutoPrice-Prediction-XGBoost-R2-94

Predicting automobile prices using machine learning and data visualization. This project leverages XGBoost and Python libraries to achieve an R² score of 0.94, with clean preprocessing, insightful visualizations, and reproducible code.

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gator-ryan/Student-Performance-Prediction

Student Performance Machine Learning Model

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DebbieGo/HDB-Resale-Price_Prediction.github.io

This project develops a high-accuracy XGBoost machine learning model to predict HDB resale prices in Singapore, identifying the key market drivers to empower real estate agents with data-driven pricing strategies.

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indrabayuu/citation-regression-research

Predicting Citation Counts with Machine Learning: A Citation Function Approach

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anthony-tricarico/BDTProject

A real-time public transportation monitoring system for Trento that leverages big data technologies to track and predict bus congestion. This app helps transit authorities optimize vehicle distribution through an interactive streamlit dashboard.

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Harddik1611/Food-Delivery-Time-Prediction-App

🍕 Food Delivery Time Predictor AI-powered web app that predicts food delivery times with 82% accuracy This interactive Streamlit application uses machine learning (XGBoost) to provide precise delivery time estimates by analyzing real-time factors like traffic, weather, distance, and delivery personnel performance.

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Nandani01/House-Price-Prediction-Using-XGBOOST-REGRESSOR

This project demonstrates how to build a regression model using XGBoost to predict California housing prices based on the California Housing dataset. The process involves data loading, exploration, preprocessing, model training, and evaluation.

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tmalik1116/F1_Qualifying_Predictor_ML

Estimate Formula 1 qualifying results using ML

Language: Python - Size: 163 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 1

vaneyepes/mercedes

ML / DNN model comparison: Mercerdes cars test bench time (Sklearn, TensorFlow)

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Dalageo/ML-GasSensorDrift

Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️

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javiermerinom/park_occupancy-capstone_project

Capstone project with the City of Vancouver delivering an end-to-end Park Usage Analytics Dashboard, built with Microsoft Fabric, machine learning models, and Power BI to forecast occupancy and support data-driven planning for the Vancouver Park Board.

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JmineSA/Telecom_Customer_Churn_Intelligence

Telecom Customer Churn Intelligence is a machine learning project that analyzes telecom customer data to predict which users are likely to stop using the service. By identifying the key factors that contribute to churn, applying SMOTE to handle class imbalance, and evaluating model performance with metrics .

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MeerBaloch7/TipAI-django-application

🤖 TipAI: Intelligent restaurant tip prediction system built with Django, XGBoost ML model, and modern responsive design. Predicts optimal tips based on dining context.

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subhashsomarouthu/HomeLLC_Housing_Price_Prediction

Predicting U.S. housing prices (2003-2023) using macroeconomic data from FRED with Regression and decision tree models.

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tstran155/Optimization-of-building-energy-consumption

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

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Aqua-Mavericks/ML-Build

End-to-end, multi-phase ML pipeline for smart industrial water quality monitoring/managing. covering classification, anomaly detection, predictive maintenance, and parameter forecasting. Implemented in Python and Jupyter; includes reproducible notebooks, deployable model artifacts and ready connectors for real-time integration (Flask, Node-RED).

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BayesTheory/Eolica-Scada-Test

Este projeto implementa um pipeline de Machine Learning de ponta a ponta para detecção de anomalias em dados SCADA de turbinas eólicas. A arquitetura central é um LSTM Autoencoder treinado exclusivamente em dados de operação normal para aprender uma representação robusta do comportamento saudável da turbina.

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ssuljo/dld_transactions_analytics

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KalinNonchev/xgbexcel

Python package that converts an XGBRegressor or XGBClassifier model to an Excel formula expression.

Language: Python - Size: 50.8 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

M-Sparsh-Mehra/urban-air-quality-index-predictor

An end-to-end machine learning pipeline for multi-step forecasting of Air Quality Index (AQI) using time series models and predicted pollutant concentrations.

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shubham5027/Store-Item-Demand-Forcasting

The "Sales Demand Forecasting Regression Model" project aims to develop a predictive model that forecasts future sales demand based on historical data and relevant influencing factors. The project follows a structured approach, encompassing data collection, preprocessing, model selection, training, evaluation, and deployment.

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holukas/diive

Time series processing library

Language: Python - Size: 840 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 13 - Forks: 2

MartinRajniak/Air-Quality-Prediction

Fully automated (GH Actions) air quality prediction system (XGBoost) using free server-less solutions (Hopsworks)

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saifalibaig/Crop-Yield-Prediction

🌾 A machine learning-based crop production prediction system using historical Indian agricultural data with advanced regression models and hyperparameter tuning.

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jpdspz/frp-aging-xgboost

XGBoost-based prediction of residual properties of aged FRP composites

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Izanamikurosawa/MVP-Streamlit-Flask-for-House-Prediction-Project

House Price Prediction project using Streamlit and Flask. Leverage machine learning with XGBRegressor for accurate predictions. 🌟🏠 Explore the code on GitHub!

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sshaply/House-Price-Prediction

Accurately predict house prices with machine learning using Python libraries. Explore data, preprocess, and achieve high performance with XGBoost. 🏡📊

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somjit101/NYC-Taxi-Demand-Prediction

This is a Time Series Forecasting and Regression solution to project the no. of pick-ups at and around a given region at a given time in the city of New York, USA.

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Mukeshsham/Household-Energy-Usage-Forecast

The Household Power Consumption Dataset contains measurements of electric power usage in a single household in France, collected over a period of 4 years at one-minute intervals.

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Kumpatlapavankumar/Medical-Insurance-Cost-Estimation-Using-Machine-Learning

Using python,numpy,pandas,seaborn,matplotlib and machine learning techniques

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samruddhi3012/Insurance-Price-Forecasting

This is a Machine Learning project where I performed EDA and forecasted the insurance pricing using Linear Regression and XGBoost Regressor.

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EitanBakirov/bicycle-rental-demand-prediction

A machine learning project aimed at predicting daily bicycle rental demand using features like weather, time, and seasonal trends.

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Roshk01/Money_mind_AI

AI-powered app to predict stock prices for the next 7 days using XGBoost and real-time data.

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DishaBasti/karnataka-electricity-consumption-predictor

ML-based web app that predicts Karnataka's district-wise monthly household electricity consumption using demographic & housing data.

Language: Python - Size: 7.81 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

rajguruyash/ml-premium-prediction

Insurance Premium Prediction using Machine Learning

Language: Python - Size: 76.2 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Shoaib1-coder/HousepricePrediction

House price prediction user can multiple input and predict price

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abbeymaj/congestion_analysis

This project predicts the traffic congestion, given the time of day, coordinates and the direction in which the motor vehicle is travelling.

Language: Python - Size: 5.59 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

prayas7102/Kaggle-Competition-Solutions

This repository features my Kaggle projects, highlighting advanced techniques in data preprocessing, feature engineering, model selection, and optimization across various competitions.

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prajakta1321/StreetML-A-Cityscape-Traffic-Volume-Prognostication

StreetML leverages ML learning techniques to revolutionize urban traffic prediction through precise volume prognostication, aiming to enhance cityscape mobility through data-driven insights.

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nurdinsants/calories-burned-prediction

Predict calories burned during workouts using ML and ANN. This project leverages user data for accurate predictions. 🌟📊

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siddheshwarkoli/Texas-Employee-Salary-Prediction-Regression

Predictive model which will help theTexas state government team to know the payroll information of employees of the state of Texas

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AyushVishwakarma21/Real-Estate-Sales-Prediction-Project

This is an End-to-End Machine Learning Project on Real Estate Sales 2001-2022 Dataset from Kaggle. (Data files are too big to upload on github)

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sabin74/rossmann_sales_forecast

This project forecasts daily sales for Rossmann stores using historical data, store metadata, and engineered features. We use the Random Forest Regression & XGBoost regression model to capture complex patterns and improve predictive accuracy.

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siddheshwarkoli/Flight-Price-prediction-Regression

Flight ticket prices are highly unpredictable, often changing day to day, today we might see a price, check out the price of the same flight tomorrow, it will be a different story, making it challenging for travelers and airlines to forecast costs

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0xChron/load-demand-forecasting

Data driven load forecasting using energy generation and weather conditions

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Geetika-tech19/CaloriesBurntPrediction

About Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)

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siddheshwarkoli/Insurance-Cost-Prediction-Regression

Predict the insurance cost (charges) for individuals based on demographic and health-related features.

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Demetreous/Spotify-Track-Recommender-System-and-Popularity-Regression

ML project leveraging Spotify audio data for track popularity prediction and music recommendation using XGBoost, KNN, and SHAP

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Harsh071202/InsuranceFraudDetection

Detecting fraudulent insurance claims using machine learning techniques like XGBoost and SMOTE on real-world data to enhance claim verification accuracy.

Language: Python - Size: 5.45 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ChrisWeijers/MD-CBL-Group-12

Police Force Allocation Prediction Model for the Metropolitan Police

Language: Python - Size: 48.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Onome-Joseph/Flight-Machine-Learning-model

This project implements a Flight Price and Duration Prediction Machine Learning Model. Built to predict both flight price and duration due to their interrelated nature.

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ItsTSH/Customer-Churn-Prediction

Customer Churn Prediction System using XGBoost Regressor, built on Telecom Industry dataset

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Algi21/Supervised-Learning---Regression

Project supervised learning dengan Model Regression untuk memprediksi jumlah views youtube berdasarkan dataset

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hongyingyue/Vehicle-sales-predictor

Forecasting Vehicle Sales Using XGBoost – A Practical Guide to MLops Best Practices

Language: Python - Size: 235 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

miltiadiss/CEID_NE577-5G-Architectures-Technologies-Applications-and-Key-Performance-Indexes

This project involves predicting the downlink bitrate of mobile devices in 5G networks using machine learning (XGBoost Regressor) and deep learning (LSTM model). It includes data preprocessing, training and evaluation of the models, applying explainable AI (XAI) techniques such as SHAP, and optimizing feature selection based on XAI insights.

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agrawalchaitany/TeamElytra_Solar_Eff_Prediction_Model

A robust, modular machine learning pipeline for predicting solar panel efficiency, featuring domain-specific preprocessing, advanced feature engineering, model training, evaluation, selection, and easy batch prediction from CSV files.

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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: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

Vaishnavi-vi/Household_Energy_Usage_Forecast_--

The Household Power Consumption Dataset contains measurements of electric power usage in a single household in France, collected over a period of 4 years at one-minute intervals.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Anamicca23/Muli-Class-Obesity-Risk-Level-Prediction-Project-using-ML

Advancing Healthcare with 91% Accurate Prediction of Obesity Risk Levels Using XGBoost ,LightGBMand CatBoostClassifier Model

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kocharvishal/Spectral-Analysis-and-Mycotoxin-Prediction-in-Corn-Samples

Hyperspectral Corn Data Analysis & Mycotoxin Prediction

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davutbayik/food-delivery-time-prediction

Food Delivery Time Prediction using Machine Learning Techniques

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ashukesharwani/Predict_Chemical_Sales_Revenue

This repository contains an end-to-end data science project focused on forecasting chemical product sales for a leather chemical company. The goal is to uncover business insights and build a predictive model to help improve demand planning, inventory control, and overall operational efficiency.

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Romtaug/API-DataChallenge

Prédiction de la fréquence, la charge et le coût des sinistres de contrats d'assurances agricoles - Crédit Agricole Assurances

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DanGeospatial/SubarcticWildfireSeverity

Code Supplement: Driver Analysis of Subarctic Wildfire Severity over a 35-year Period

Language: Python - Size: 48.8 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Prachi319/House-price-prediction-XGBoost

Machine learning project (XG Boost regressor)

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KrupalWarale/Home-Energy-Consumption-Analysis-ML

This web application for predicting household energy consumption using multiple machine learning models with best accuracy and interactive visualizations and real-time comparison capabilities.

Language: Python - Size: 3.78 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Nishant2018/Predict-Calorie-Expenditure---XGBoost

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INDDRSINGH/Flight_fare_prediction

Flight fare prediction model

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ahmadrazacdx/HouseOracle

HouseOracle is a modern, intelligent real estate web application that harnesses the power of machine learning to deliver real-time property price predictions and market insights across Pakistan. Provides actionable intelligence to help you make confident, data-driven decisions.

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Yahlawat/Spotify-Popularity-Prediction

ML project predicting Spotify song popularity using audio features, metadata, and gradient boosting models (XGBoost, LightGBM, CatBoost).

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davutbayik/bus-usage-forecasting

Time Series Forecasting - Bus Usage Prediction

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Wb-az/ML-airbnb-paris-analytics-and-price-prediction

Airbnb Paris - analytics and accommodation price prediction

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Egjfour/dsti_goodreads_rating_predictions

Using machine learning to predict Goodreads ratings utilizing the Kedro framework. Includes EDA, rich feature engineering and data integration, model building with pipelines, and model comparison

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steviecurran/house-prices

House Price Predictions

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NandaKishoreReddyGajjala/House_Price-Prediction

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JashT14/Cryptocurrency-Price-Prediction

Predict cryptocurrency prices using an XGBoost Regressor model trained on historical data. The model is served via a Flask API and integrated with a Vite + React frontend for real-time predictions and interactive visualization.

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ArunabhaPani/House_price_prediction_kaggle_learning

started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ArunabhaPani/kaggle_house_price_prediction_advanced_regression_ml_model

started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

jesuserro/ml-retail-sales-predictor

This project presents a complete workflow for training, evaluating, and reporting a machine learning model that predicts store sales.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

banzuzi-carioni/cross-border-electricity-flow-prediction

Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners.

Language: Python - Size: 44 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 11 - Forks: 0

subhas-pramanik-09/House-Price

This is a House Price Prediction System using XGBRegressor Model

Language: Jupyter Notebook - Size: 138 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

abu14/house-price-prediction

An end to end ML project, predicting on house price prediction using gradient boosting algorithm.

Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

myself-aas/Comparative-Analysis-of-Regression-Models-for-Commodity-Price-Prediction

Comparative Analysis of Regression Models for Commodity Price Prediction – A comprehensive analysis comparing various regression models to predict commodity prices, aiming to improve accuracy and decision-making for stakeholders in agriculture and economics.

Language: Jupyter Notebook - Size: 7.1 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0