gradient-boosting-regressor

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

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

Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle

Gradient Boosting Regressor in Go

This repository contains several machine learning projects done in Jupyter Notebooks

Computer Intelligence subject final project at UPC.

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

Open source gradient boosting library

Machine Learning

Predict the employee burn out rate

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.

MediaEval challenge 2019 - to predict the memorability of the Videos

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.

Simple GradientBoost

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

Predict Bike sharing depending on weather and week day, using data from previous months and different Machine Learning Algorithms

Machine learning related work. Holds Kaggle competitions and other stuff

The model predicts the price of the house using Linear Regression.

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

Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats

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

Our goal in this project was to gain insight into the world of Airbnb market dynamics. There are several different ways to accomplish this goal, but more specifically, we attempted to predict the price for any Airbnb given standard measures such as the location of the listing, and the features that any particular Airbnb offers.

Using Various Regression Algorithms to Predict House Sales

Previsão dos preços dos imóveis em Ihoa, USA com 4 modelos de regresão, feature engineering com SelectBest.

Implemented a Decision Tree Regressor, a Gradient Boosting Regressor, and a Hierarchical Clustering Algorithm.

Análise exploratória dos dados de alunas que fizeram o ENEM 2016 e predição das notas de matemática dos alunos

Predicting sales volume for different product types using multiple regression and analyzing the impact customer reviews have on sales.

This is basic web app where you just need to fill some information and it will give the second hand car price