A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
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Updated
Jun 5, 2024 - Python
A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
Project for applied classical ML course at the Weizmann institute
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.
LGBM Solution to AMEX Default Prediction Kaggle Competition
Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.
Using Machine Learning Regression Algorithms, Predicting the Energy Used by the Appliance.
Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".
Health Insurance Cross-Sell(Learning to Rank Machine Learning Project)
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.
Mohs Hardness Prediction Project | Ensemble Models with Neural Networks, LGBM, CAT, XGB using a Voting Mechanism. 🚀💎
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.
Soldier Race Prediction
A Web application that estimates your app's rating in google play store based on the features you decide
Health Profile Analysis:Revealing Disorder Paterns,Medication Guidance and Risk Classification-ML Project
This repository is for load forecasting using machine learning.
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.
Attack Detection, Parameter Optimization and Performance Analysis in Enterprise Networks (ML Networks) for Intrusion Detection System IDS.
An implementation of a novel Gradient Boosting algorithm inspired by ARMA models, as detailed in the associated IEEE paper on nonlinear sequential regression.
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