GitHub topics: gradient-boosting-regressor

ProfwareSystems/artdata-ml-process-control

Machine Learning in Process Control

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Ansh118/ML_House_Prediction

project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.

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fazeelibtesam/BagPackPrediction

My kaggle competition playground series model

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temulenbd/dublin-parking-suspensions-analysis

PROJECT NAME: Exploration and analysis of publicly available data: suspension of parking bays in Dublin City Council.

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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.

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Agnij-Moitra/MSBoost

MSBoost is a gradient boosting algorithm that improves performance by selecting the best model from multiple parallel-trained models for each layer, excelling in small and noisy datasets.

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dpb24/netflix-global-top-10-performance-predictor-ml

Netflix Global Top 10 Performance Predictor - machine learning (Python)

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UmairAli254/Predicting_House_Prices---Linear-Regression

Predicting House Prices via Linear Regression, Decision Tree Regressor, Random Forest Regressor, and Gradient Boost Regressor

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PhanChenh/PredictQuantity_PythonProject_PizzaDataset

Sales Quantity Forecasting for Pizza Dataset 2015

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Snigdho8869/Regression-Analysis-Projects

Repository showcasing a collection of diverse regression analysis projects including salary prediction and more.

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nmaffe/iceboost

A gradient-boosted tree framework to model the ice thickness of the World's glaciers

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MAHMOUD2ABDALLAH/Bike-Sales

It was a competition on KAGGLE for prediction on the most sales products on bikes via their features

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RubixML/Housing

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

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alloverheada2/Gradient-Full

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salihfurkaan/World-Happiness-Report

An analysis on the world happiness report.

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AShirsat96/HousingPrices_Prediction_Model

Predicted the sales price using different machine learning prediction models for Housing Prices Dataset

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ignacypolak1/house-price-prediction

The project aimed to demonstrate the capabilities of data analysis and machine learning in the context of real estate price estimation.

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shaadclt/Home-Price-Prediction-Economic-Indicators

This project aims to predict home prices using various economic indicators from the Federal Reserve Economic Data (FRED). The project involves data collection, data preparation, model building, and analysis of the results.

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BetulKarakaya/Salary-Predictor-Employees-Dataset

This project predicts employee salaries based on factors like gender, department, experience, and location, providing insights and accurate salary predictions through statistical and machine learning methods.

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mhizterpaul/predicting-rental-durations

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nlawira/india-house-rent-prediction

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.

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cego669/ApartmentPricesInGoiania

The objective of this project is to deploy a web application capable of providing predictions for apartment prices in Goiânia. The model used for prediction was Histogram Gradient Boosting Regressor. All you need to do is to access the web app, fill in the input data form and then click "Predict!"!

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ramahasiba/Car_Price_Prediction

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marielgyap/Spot-the-Hits

My capstone project for the Institute of Data investigates the metadata of songs on Spotify, building a predictive model to project a track's popularity on Spotify using its audio features.

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PoojaP-atil/Gradient-Boosting

Applied Gradient Boosting on California Housing dataset.

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trixzt/ML

Práctica Final del Módulo de Machine Learning

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LSShrivathsan/soil-moisture-analysis

Soil moisture analysis , prediction and decision making to irrigate or drain water from field using Machine Learning ,numpy ,pandas , sklearn , matplotlib , Gradient Boosting Regressor model, linear regression model .

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VADDE-KISHORE/KNOWNLEDGE_REPRESENTATION--USING_MOBILE_PRICE_PREDICTION

THIS IS OUR FIRST PROJECT SUBMITTED IN GITHUB. "Wonderful Learning Experience"

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bma114/Corroded_Beam_Bending_Prediction

This repository enables an engineer to generate predictions for the mechanical bending performance of corroded beams, using a database of 725 corroded beams tested under monotonic bending. Outputs include the maximum bending moment, residual capacity percentage, yield load, yield displacement, and ultimate displacement.

Language: Python - Size: 659 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

bma114/corroded-RC-beam-moment-capacity

Example machine learning implementation to predict the residual bending moment capacity of corroded reinforced concrete beams tested under monotonic three or four-point bending. Data is collected from 54 experimental programs available in the literature.

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bma114/corroded-steel-machine-learning

Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.

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ishita48/Breast-Cancer-Diagnosis-ML-model

This breast cancer diagnosis project evaluates various machine learning models to effectively classify breast masses as benign or malignant. SVM and Logistic Regression excel in identifying positive cases, leveraging their robust performance metrics, while Neural Networks show promising results and offer opportunities for further enhancement!

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DimitrisKatos/USA_price_houses_predictions

U.S.A. house prediction

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manjit-baishya-datascience/NYC-Taxir-Fair-Prediction

This project aims to predict taxi fare amounts in New York City using a dataset of historical taxi rides. We employ machine learning techniques to create models that can estimate the total fare amount based on various features of the trips.

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Ahmad-Ali-Rafique/Wine-Quality-Dataset

Comprehensive analysis and modeling of the Wine Quality dataset, including exploratory data analysis (EDA), data preprocessing, model training, and performance evaluation using MSE and RMSE.

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sanhiitaa/salary-prediction

End-to-End Machine Learning project I made as a machine learning intern @ Mentorness

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ishita48/Machine-Learning_Model_Predicting_California_Housing_Prices

This project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment

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dyavadi8769/Student_Performance_Indicator_AWS_CI-CD

This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.

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dyavadi8769/Student_Performance_Indicator_ML_AWS_CI-CD_Pipelines

This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.

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LuluW8071/Laptop-Price-Prediction

A collection of machine learning models for predicting laptop prices

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DataScienceVishal/House_Sale_Prediction

House Sale Prediction Using Gradient Boosting Regressor and AdaBoost Regressor

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sonadukane18/XGBoost_Home_Price_Prediction

Predicting house prices using Linear Regression and Gradient Boosting Regressor with the factors like income, schools, hospitals and crime rates.

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Doodies/Github-Stars-Predictor

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

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leffff/stackboost

Open source gradient boosting library

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zeynpaktasli/InsuranceForecasting

Insurance Forecasting with EDA, feature engineering, data preprocessing, model building and hyperparameter optimization.

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rociobenitez/AirbnbPricingModel

A Machine Learning exploration evaluating various models to predict Airbnb prices, culminating in an optimized Gradient Boosting Regressor.

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Maximvan/MLFLSP1

Predicting hourly bicyclist counts on Coupure Links in Ghent, employing a Histogram Gradient Boosting regressor to forecast July values based on data from January to June, as part of the Machine Learning for Life Sciences course at Ghent University

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Jess607/Tourism-Spot-Recommendation-System

This is a hybrid recommender system that combines the paradigms of content based filtering(using gradient boosting regressor) and collaborative filtering to recommend destination spots for users/tourists based on their demography and spots liked by tourists with similar demography and likes.

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FarhanaTeli/Factors-Influencing-US-Home-Prices

Using publicly available data for the national factors that impact supply and demand of homes in US, build a data science model to study the effect of these variables on home prices.

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bhavya1917/Layoffs_Decoded

Demystifying ~400K layoffs to analyze underlying causes and predict future trends of layoffs by different companies.

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immanuvelprathap/Agriculture-Project

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sathwikkes/Movie-Recommender-System

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Emeline2104/Predictive_energy_consumption

Projet 5 - OpenClassRooms - Data Science

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Ranjeet731/House_Price_Prediction

The "House-Price-Prediction" repository contains code for a model that predicts house prices. It considers factors like bedrooms, bathrooms, and living area. With simple instructions, With the help of this model we can easily predict results as per our requirement.

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yash1314/medical_insurance_cost_prediction

This repository contains machine learning model for predicting medical insurance cost using gradient boost algorithm.

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

16danielvm/How-to-improve-the-accuracy-of-a-Regression-Model

This project shows a guide for improving the accuracy of regression model.

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ShreyaPatil1199/Life_Expectancy

The overall objective of this project is to critically analyze and develop the relationships of quantitative factors affecting life expectancy in 193 countries between 2000 and 2015 that underlie changes in life expectancy. The importance of predicting life expectancy arises because of its important role as an indicator of the overall health.

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syedmfuad/food_store_location_pred

Codes for food store presence, density and popularity predictor. Merges census tract-level demographic data from ACS, neighborhood amenities from heterogenous sources, and Point of Interest (POI) data from anonymized cellphone GPS ‘pings’ to identify food retailer location and foot traffic information.

Language: R - Size: 127 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ds-wook/power-usage-predict

🥉2023 Power Consumption Prediction AI Competition🥉

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ShreyaPatil1199/Big_Mart_Sales_Prediction

Big Mart Sales Prediction is a data-driven project aiming to forecast product sales accurately across Big Mart outlets. Leveraging machine learning and comprehensive datasets, our project empowers retailers to optimize inventory, enhance profitability, and make informed decisions in the dynamic world of retail.

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jjrodcast/Trabajo-Machine-Learning

Course work of Introduction to Machine Learning - PUCP - Diplomate of Artificial Intelligence - 2020

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yamineesh-k/imdb-movie-rating-prediction

imdb movie rating prediction

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ShreyaPatil1199/Laptop-Price-Predictor

Predict laptop prices using machine learning. This project leverages multiple linear regression to achieve an 82% prediction precision. Explore the influence of features like brand, specs, and more on laptop prices.

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nipun-goyal/Residential-Energy-Consumption-Prediction

Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)

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Heta-code/The-Future-We-Need

This project focuses on leveraging machine learning and artificial intelligence techniques to contribute to environmental conservation efforts and predict the growing stock of forests in Indian states.

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samtwl/Machine-Learning

This repository contains several machine learning projects done in Jupyter Notebooks

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lukabrown/Gradient-Boosting-Housing-Dataset

Machine learning demonstration of the Gradient Boosting algorithm and it's effectiveness on a regression dataset of house prices.

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shubhpawar/Automated-Essay-Scoring

Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle

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MArya80/Student-Grading-Prediction

The dataset contains students last three year exam results combined with other data such as their sex, family size, father and mother job and some of their personal and social life properties. The goal is to train ML models to predict student performance in their last year exams.

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SedemBuabs/ML-Project-Predicting-Cooling-Loads-of-Buildings

The use of Machine Learning Regression models for predicting energy loads of buldings.

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santiagoahl/world-happiness

A Machine Learning Model built in scikit-learn using Support Vector Regressors, Ensemble modeling with Gradient Boost Regressor and Grid Search Cross Validation.

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kpsijil2/Cement-Manufacturing

Predicting cement strength

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eshan-kaul/Regression-Voting-Ensemble-for-Solar-Power-Prediction

Developed an ensemble voting model that included Random Forests, Linear Regression, Orthogonal Matching Pursuit, and Gradient Boosting Regressor to predict future solar power generated by a solar plant in India at 98.7% accuracy. Placed 1st at the Virginia Tech Computational Modeling & Data Analytics Fall 2022 Data Competition.

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prajwalDU/Bike-sharing-demand-prdiction-prajwal

Bike Sharing Demand Prediction By Supervised Machine Learning Algorithms Implementation On Seoul Bike Sharing Dataset

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Danfoa/parkinson-progression-prediction-with-speech-tests

Computer Intelligence subject final project at UPC.

Language: Python - Size: 37.7 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 1

dgovor/Housing-Price-Prediction-Python

Machine Learning model for price prediction using an ensemble of four different regression methods.

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jaiminjariwala/Random_Forest_Project_1

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pabloxD13/Bootcamp_Data_Science_Alura_2

Repositório do bootcamp de datascience da Alura.

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ShehaniWageesha/House-Price-Prediction-ML

Predicting House Prices with Machine Learning

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wassima-manssour/california-house-price-prediction

Comparing different ML models for regression to predict the house prices using the California dataset provided by scikit learn.sc

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siadat/gradboostreg

Gradient Boosting Regressor in Go

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gb-pignatti/ML_from_scratch

I code from scratch various Machine Learning algorithms.

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MrRaghav/media-memorability

MediaEval challenge 2019 - to predict the memorability of the Videos

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BobbyWilt/PD_Voice_UPDRS

This project fits and tunes several regression models to predict Parkinson's symptom severity scores from voice recordings.

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MohammedIhsanP/HREmployeeAttritionPrediction-Web-App-Using-Flask

This project aims is to predict whether an employee will leave or remain in the organization depending upon various factors using an ML classification model. Also if the employee leaves, we predict within how much time he/she leaves by using an ML regression model and deploy the Machine Learning model using FLASK.

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mrinalmayank7/machine_learning_models

This repository consist of various machine learning models along with the dataset. The models are trained with widely used ML algorithms like Gradient Boost , Random Forest etc. Pickle is used to serialize ML algorithms for predictions or availing it for the server use.

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