gradient-boosting-regressor
There are 91 repositories under gradient-boosting-regressor topic.
RubixML/Housing
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
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.
shubhpawar/Automated-Essay-Scoring
Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle
ds-wook/power-usage-predict
š„2023 Power Consumption Prediction AI Competitionš„
Danfoa/parkinson-progression-prediction-with-speech-tests
Computer Intelligence subject final project at UPC.
leffff/stackboost
Open source gradient boosting library
dgovor/Housing-Price-Prediction-Python
Machine Learning model for price prediction using an ensemble of four different regression methods.
siadat/gradboostreg
Gradient Boosting Regressor in Go
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.
santiagoahl/platzi-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.
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)
samtwl/Machine-Learning
This repository contains several machine learning projects done in Jupyter Notebooks
lukabrown/Gradient-Boosting-Housing-Dataset
Machine learning demonstration of the Gradient Boosting algorithm and it's effectiveness on a regression dataset of house prices.
LuluW8071/Laptop-Price-Prediction
A collection of machine learning models for predicting laptop prices
MrRaghav/media-memorability
MediaEval challenge 2019 - to predict the memorability of the Videos
ShehaniWageesha/House-Price-Prediction-ML
Predicting House Prices with Machine Learning
yash-dahima/CSE523-Machine-Learning-2023-Air-Quality-Prediction
This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.
akshayakn13/HackerEarth_Burnout
Predict the employee burn out rate
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.
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.
BobbyWilt/PD_Voice_UPDRS
This project fits and tunes several regression models to predict Parkinson's symptom severity scores from voice recordings.
Emeline2104/Predictive_energy_consumption
Projet 5 - OpenClassRooms - Data Science
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.
gb-pignatti/ML_from_scratch
I code from scratch various Machine Learning algorithms.
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.
johnlakk/Bike_Sharing_Demand_Machine_Learning_Problem
Machine Learning
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 .
mayur7garg/FinancialModelling
Easy to follow stock price analysis forecasting techniques on Indian stock data
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.
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.
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 āpingsā to identify food retailer location and foot traffic information.
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.
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.
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.
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.