An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
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Updated
Jan 14, 2023 - PHP
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
🥉2023 Power Consumption Prediction AI Competition🥉
Computer Intelligence subject final project at UPC.
Open source gradient boosting library
Machine Learning model for price prediction using an ensemble of four different regression methods.
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.
A Machine Learning Model built in scikit-learn using Support Vector Regressors, Ensemble modeling with Gradient Boost Regressor and Grid Search Cross Validation.
Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)
This repository contains several machine learning projects done in Jupyter Notebooks
Machine learning demonstration of the Gradient Boosting algorithm and it's effectiveness on a regression dataset of house prices.
MediaEval challenge 2019 - to predict the memorability of the Videos
This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.
A collection of machine learning models for predicting laptop prices
Predicting House Prices with Machine Learning
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
I code from scratch various Machine Learning algorithms.
Machine Learning
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