gradient-boosting-regressor

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

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.

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.

siadat/gradboostreg

Gradient Boosting Regressor in Go

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)

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.

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.

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.

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.

samtwl/Machine-Learning

This repository contains several machine learning projects done in Jupyter Notebooks

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.

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.

DimitrisKatos/USA_price_houses_predictions

U.S.A. house prediction

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!

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

MAHMOUD2ABDALLAH/rented-bike-count

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

MrRaghav/media-memorability

MediaEval challenge 2019 - to predict the memorability of the Videos

ShehaniWageesha/House-Price-Prediction-ML

Predicting House Prices with Machine Learning

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.

immanuvelprathap/Agriculture-Project

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

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 .

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.

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.

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.

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.