Popular GitHub Repositories for Lgbm

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

Easy Custom Losses for Tree Boosters using Pytorch

Classifying Audio to Emotion

Machine learning solutions for the American Express credit default prediction Kaggle competition

Objective is to develop a predictive model for a consumer finance company to identify potential loan defaulters. By analyzing historical loan data, & diff. data the factors that influences loan default rate.

Crypto & Stock* price prediction with regression models.

多目标LGBM回归示例：这是一个简单的多目标回归示例，展示如何使用单个LGBM模型在帕累托前沿上权衡目标。

A Machine Learning project for Machine Learning Internship offered by InternshipStudio.

??? ??? ??? ?? ?? ?? AI model? ??

A machine learning project that explores and predicts the prices of houses in Washington, USA

Избранные проекты по машинному обучению

This a project which predicts the stock price of Tesla for a given time period & based upon the previous 10 years of historical data. Here, numerical and sentimental analysis is performed with the help of natural language toolkit (NLKT), Textblob, sklearn etc. By observing the previous trends of the market stock price and sentiments of the news about the market, this model predicted the future variation of the stock market price of TELSA. Basically, four models were trained with the same dataset like: Random Forest, AdaBoost, LGBM & xgboost out of these model LGBM model predicted with the least mean squared error value.

This project is based on text generation techniques used for predictive keyboard and post generation under constraints, also provides sentiment and upvotes prediction on a Reddit post title

Problem Statement 1 Prediction Model foe Wehack2.0, trying to find defects.

The task is to predict whether a passenger was transported to an alternate dimension during the Spaceship Titanic's collision with the spacetime anomaly. To help us make these predictions, we are given a set of personal records recovered from the ship's damaged computer system.

Implementation of an ML Model Serving with Flask, the model is LGBM trained on Kaggle titanic data.

基于3D全身照片的皮肤癌检测

Health Profile Analysis:Revealing Disorder Paterns,Medication Guidance and Risk Classification-ML Project