An NHL expected goals (xG) model built with light gradient boosting.
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Updated
Jan 12, 2024 - Python
An NHL expected goals (xG) model built with light gradient boosting.
How to do a simple end-to-end machine learning classification project using the telco churn dataset
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Comparison of ensemble learning methods on diabetes disease classification with various datasets
This repository contains the project where the goal is to develop a machine learning model that can accurately predict car prices based on various features. We explored multiple models including K-Nearest Neighbor, Decision Tree, Catboost Classifier, and Light Gradient Boosting Classifier.
Coding challenge for a job interview examining the predictors of vehicle accident severity using GB Road Safety Data
multi-variate deep time series forecasting ensemble models
A model build on RAVDESS dataset, for speech emotion recognition. 85.59% validation accuracy
Evaluation and Implementation of various Machine Learning models for creating a "Banking/Financial Transaction Fraud Prevention System"
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
Model that uses 10 different algorithms to predict the revenue of a movie before it's release
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