light-gradient-boosting-machine
There are 11 repositories under light-gradient-boosting-machine topic.
xxl4tomxu98/autoencoder-feature-extraction
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
PermanAtayev/Movie-revenue-prediction
Model that uses 10 different algorithms to predict the revenue of a movie before it's release
anaeim/deep-stock-price-prediction
multi-variate deep time series forecasting ensemble models
khaamosh/Fraud-Detection-Machine-Learning-Model
Evaluation and Implementation of various Machine Learning models for creating a "Banking/Financial Transaction Fraud Prevention System"
kingjosephm/gb_vehicle_injuries
Coding challenge for a job interview examining the predictors of vehicle accident severity using GB Road Safety Data
LinggarM/Ensemble-Learning-Comparison-on-Diabetes-Classification
Comparison of ensemble learning methods on diabetes disease classification with various datasets
Sujeeth-Shetty/hackathon-projects
Project work related to various hackathons
Arinjay11020/Capstone-Speech-Sentiment-Analysis
A model build on RAVDESS dataset, for speech emotion recognition. 85.59% validation accuracy
JNoel71/NHL-Expected-Goals-xG-Model
An NHL expected goals (xG) model built with light gradient boosting.
Prince0511/Car-Pricing-Classification
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.
Azie88/Machine-Learning-Classification-Review
How to do a simple end-to-end machine learning classification project using the telco churn dataset