lightbgm

MoinDalvs/Gradient_Boosting_Algorithms_From_Scratch

4 Boosting Algorithms You Should Know – GBM, XGBoost, LightGBM & CatBoost

iamjr15/Ensemble-AI-Text-Detection

This project detects AI-generated text using an ensemble of classifiers: Multinomial Naive Bayes, Logistic Regression, LightGBM, and CatBoost. It includes robust data preprocessing, model development, and evaluation, ensuring accurate identification of AI-generated content from a diverse text dataset.

amlan28/Machine-Learning

All Possible Machine Learning algorithms implementation in jupyter notebook with csv file.

anthonydwan/Kaggle-Tabular_Playground_Series_Jan_2021

predicting a continuous target (regression) based on number of anonymous features columns given in the data.

MaoIlich/Project-3-Ensemble-Techniques---Term-Deposit-Sale

Goal Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio

nanthasnk/Capstone-LT-Vehicle-Loan-Default-Prediction

Repository contains Vehicle Loan Default Prediction of L&T which involved EDA, Statistical Analysis and Model Building

harimittapalli/AmExpert-2019

Analytics Vidhya AmExpert ML Competition

thuvarahan97/DataStorm1.0_TeamFixzels

Data Storm 1.0 - Business Problem - Team Fixzels

Akash1070/Deploying-Machine-Learning-Models-via-Microsoft-Azure

Deploying Flight Price Prediction via Microsoft Azure

Luffy-Yao/LightGBM_Application

MarcoXM/WayfairCompetition

Using Data to Bring Customers Home