gradient-boosting-regressor

There are 0 repository under gradient-boosting-regressor topic.

RubixML / Housing
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
rubix-ml gradient-boosting gradient-boosting-machine gradient-boosted-trees regression machine-learning php machine-learning-tutorial housing-prices kaggle gradient-descent gradient-boosting-regressor data-science rubix kaggle-competition gradient-boost ensemble predicting-housing-prices php-ml php-machine-learning
Language:PHP 46
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.
github-api github-stars machine-learning deep-learning data-visualization prediction gradient-boosting-regressor deep-neural-networks random-forest catboost nodejs python keras matplotlib seaborn xgboost
Language:Jupyter Notebook 34
shubhpawar / Automated-Essay-Scoring
Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle
natural-language-processing machine-learning automatic-essay-scoring linear-regression ridge-regression lasso-regression support-vector-regression gradient-boosting-regressor nltk sklearn ensemble-learning cohens-kappa text-regression text-processing text-analytics
Language:Jupyter Notebook 32
ds-wook / power-usage-predict
🥉2023 Power Consumption Prediction AI Competition🥉
catboost ensemble-learning gradient-boosting-regressor lightgbm xgboost
Language:Python 12
Danfoa / parkinson-progression-prediction-with-speech-tests
Computer Intelligence subject final project at UPC.
regression parkinsons-disease parkinson-diagnosis parkinson machine-learning updrs-scale uci-machine-learning uci parkinsons-telemonitoring-dataset rfe anfis support-vector-regression multilayer-perceptron gradient-boosting-regressor
Language:Python 10
leffff / stackboost
Open source gradient boosting library
boosting ensemble-learning decision-tree gradient-boosting regression-models classification-model python pypi data-science data-analysis gradient-boosting-machine gradient-boosting-regressor gradient-boosting-classifier
Language:Python 7
dgovor / Housing-Price-Prediction-Python
Machine Learning model for price prediction using an ensemble of four different regression methods.
machine-learning price-prediction python lgbmregressor linear-regression gradient-boosting-regressor xgboost-regression
Language:Python 6
siadat / gradboostreg
Gradient Boosting Regressor in Go
go golang gradient-boosting-regressor
Language:Go 5
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.
collaborative-filtering content-based-recommendation gradient-boosting-regressor hybrid-filtering python recommender-system
Language:Jupyter Notebook 4
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.
flask gradient-boosting-regressor grid-search-cross-validation scikitlearn-machine-learning svr-regression-prediction
Language:Python 4
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)
elasticnet gradient-boosting-regressor gridsearchcv lasso-regression random-forest-regression ridge-regression sklearn-library xgboost-algorithm lightgbm-regressor principal-component-analysis linear-regression sklearn-pipeline
Language:Jupyter Notebook 3
samtwl / Machine-Learning
This repository contains several machine learning projects done in Jupyter Notebooks
python3 machine-learning regularized-linear-regression logistic-regression topic-modeling gaussian-naive-bayes-implementation multi-class-classification multivariate-linear-regression decision-tree random-forest-regression gradient-boosting-regressor extreme-gradient-boosting machine-learning-algorithms machine-learning-models jupyter-notebook
Language:Jupyter Notebook 3
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.
gradient-boosting gradient-boosting-classifier gradient-boosting-regressor machine-learning machine-learning-algorithms tabular-data scikit-learn scikitlearn-machine-learning
Language:Jupyter Notebook 2
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.
artificial-neural-networks beams corrosion engin generalized-additive-models gradient-boosting-regressor machine-learning random-forest reinforced-concrete structural-engineering multivariate-adaptive-regression-splines
Language:Python 2
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.
anfis artificial-neural-networks catboostregressor corrosion gaussian-process-regression generalized-additive-models gradient-boosting-regressor machine-learning random-forest regression-models reinforced-concrete steel support-vector-regression structural-engineering
Language:Python 2
DimitrisKatos / USA_price_houses_predictions
U.S.A. house prediction
eda gradient-boosting-regressor logistic-regression visualization
Language:Jupyter Notebook 2
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!
colab-notebook data-science data-visualization exploratory-data-analysis gradient-boosting-regressor jupyter-notebook k-nearest-neighbours logistic-regression matplotlib model-evaluation-metrics neural-network neural-networks numpy pandas python random-forest support-vector-machine tensorflow-keras
Language:Jupyter Notebook 2
lukabrown / Gradient-Boosting-Housing-Dataset
Machine learning demonstration of the Gradient Boosting algorithm and it's effectiveness on a regression dataset of house prices.
elastic-net gradient-boosting gradient-boosting-regressor imputing-missing-values jupyter-notebook machine-learning numpy pandas pca-analysis python scikit-learn sklearn
Language:Jupyter Notebook 2
LuluW8071 / Laptop-Price-Prediction
A collection of machine learning models for predicting laptop prices
laptop-price-prediction machine-learning python adaboost-regressor decision-tree-regression ensemble-learning extra-tree-regressor gradient-boosting-regressor knn-regression lasso-regression multiple-linear-regression random-forest-regression ridge-regression stacking-ensemble svm-regressor voting-regressor xgboost-regression sckiit-learn streamlit
Language:Jupyter Notebook 2
MrRaghav / media-memorability
MediaEval challenge 2019 - to predict the memorability of the Videos
mediaeval spearman-rank-correlation video-memorability linear-regression knn decision-trees random-forest voting-regressor gradient-boosting-regressor neural-networks machine-learning-algorithms machine-learning regression captions c3d hmp tf-idf count-vectorizer multimediaeval ensemble-models
Language:Jupyter Notebook 2
ShehaniWageesha / House-Price-Prediction-ML
Predicting House Prices with Machine Learning
decision-tree gradient-boosting-regressor house-price-prediction machine-learning random-forest
Language:Jupyter Notebook 2
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.
air-quality classical-machine-learning correlation-matrix gradient-boosting-regressor kernel-based-methods machine-learning machine-learning-algorithms model-evaluation-metrics principal-component-analysis air-quality-prediction
Language:Python 2
akshayakn13 / HackerEarth_Burnout
Predict the employee burn out rate
hackerearth machine-learning machine-learning-algorithms regression-models regression gradient-boosting-regressor python jupyter-notebook
Language:Python 1
BobbyWilt / PD_Voice_UPDRS
This project fits and tunes several regression models to predict Parkinson's symptom severity scores from voice recordings.
machine-learning python jupyter-notebook regression-models feature-engineering feature-analysis data-visualization pandas sklearn hyperparameter-tuning xgboost gradient-boosting-regressor random-forest decision-tree linear-regression regularization seaborn permutation-importance
Language:Jupyter Notebook 1
Emeline2104 / Predictive_energy_consumption
Projet 5 - OpenClassRooms - Data Science
dbscan-clustering gradient-boosting-regressor kmeans predictive-modeling random-forest-regression svr-regression-prediction supervised-learning supervised-machine-learning
Language:Jupyter Notebook 1
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.
ensemble-learning data-science gradient-boosting-regressor linear-regression machine-learning-algorithms orthogonal-matching-persuit random-forest solar-power
Language:HTML 1
gb-pignatti / ML_from_scratch
I code from scratch various Machine Learning algorithms.
data-science python gradient-boosting-classifier gradient-boosting-regressor kmeans-clustering-algorithm knearest-neighbor-classifier knearest-neighbor-regressors machine-learning naive-bayes-classifiers spam-filter supervised-machine-learning unsupervised-machine-learning
Language:Jupyter Notebook 1
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.
data data-science datavisualization environment forest gradient-boosting-regressor machine-learning python growing-stock-forest
Language:HTML 1
immanuvelprathap / Agriculture-Project
gradient-boosting-regressor random-forest-regression svm decision-tree-regression r2-score scikitlearn-machine-learning
Language:Jupyter Notebook 1
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
feedforward-neural-network github google-colab gradient-boosting-regressor jupyter-notebook k-nearest-neighbours linear-regression neural-network numpy pandas python random-forest-regression scikitlearn-machine-learning tensorflow-keras-model data-preprocessing data-visualization machine-learning-models
Language:Jupyter Notebook 1
johnlakk / Bike_Sharing_Demand_Machine_Learning_Problem
Machine Learning
machine-learning machinelearning jupyter-notebook jupyter-notebooks python3 bikesharing bike-share bikeshare-data data-science data-mining dataset data-visualization datascience mining feature-engineering feature-selection kaggle-dataset kaggle random-forest gradient-boosting-regressor
Language:Jupyter Notebook 1
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 .
ai-model gradient-boosting-regressor machinelearning-python numpy pandas sklearn linear-regression-models machine-learning machine-learning-algorithms
Language:Python 1
mayur7garg / FinancialModelling
Easy to follow stock price analysis forecasting techniques on Indian stock data
docker finance financial-analysis financial-data financial-modeling gradient-boosting-regressor price-forecast price-forecasting random-forest random-forest-regression share-price stock-data stock-forecasting stock-market stock-prediction stock-price-prediction
Language:Jupyter Notebook 1
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.
flask machine-learning random-forest webapp model-deployment python sklearn random-forest-classifier gradient-boosting-regressor
Language:Jupyter Notebook 1
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.
machine-learning machine-learning-algorithms pickle random-forest-classifier diabetes-prediction random-forest-regressor heart-disease-prediction liver-disease-prediction brain-tumor-detection gradient-boosting-classifier gradient-boosting-regressor
Language:Jupyter Notebook 1
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.
food-security food-store gradient-boosting-classifier gradient-boosting-regressor machine-learning predictive-modeling
Language:R 1

gradient-boosting-regressor

RubixML / Housing

Doodies / Github-Stars-Predictor

shubhpawar / Automated-Essay-Scoring

ds-wook / power-usage-predict

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

leffff / stackboost

dgovor / Housing-Price-Prediction-Python

siadat / gradboostreg

Jess607 / Tourism-Spot-Recommendation-System

santiagoahl / platzi-world-happiness

nipun-goyal / Residential-Energy-Consumption-Prediction

samtwl / Machine-Learning

Agnij-Moitra / MSBoost

bma114 / corroded-RC-beam-moment-capacity

bma114 / corroded-steel-machine-learning

DimitrisKatos / USA_price_houses_predictions

ishita48 / Breast-Cancer-Diagnosis-ML-model

lukabrown / Gradient-Boosting-Housing-Dataset

LuluW8071 / Laptop-Price-Prediction

MrRaghav / media-memorability

ShehaniWageesha / House-Price-Prediction-ML

yash-dahima / CSE523-Machine-Learning-2023-Air-Quality-Prediction

akshayakn13 / HackerEarth_Burnout

BobbyWilt / PD_Voice_UPDRS

Emeline2104 / Predictive_energy_consumption

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

gb-pignatti / ML_from_scratch

Heta-code / The-Future-We-Need

immanuvelprathap / Agriculture-Project

ishita48 / Machine-Learning_Model_Predicting_California_Housing_Prices

johnlakk / Bike_Sharing_Demand_Machine_Learning_Problem

LSShrivathsan / soil-moisture-analysis

mayur7garg / FinancialModelling

MohammedIhsanP / HREmployeeAttritionPrediction-Web-App-Using-Flask

mrinalmayank7 / machine_learning_models

syedmfuad / food_store_location_pred