GitHub topics: lightbgm

Repositories

butlerem/intrusion-detection-api

Flask API for real-time intrusion detection using a threshold-optimized LightGBM model.

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butlerem/intrusion-detection-dashboard

Interactive Streamlit app for visualizing network traffic and predicting intrusions using a LightGBM model.

Language: Python - Size: 261 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

MoinDalvs/Gradient_Boosting_Algorithms_From_Scratch

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

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dvarshith/transaction-fraud-detection

Machine Learning pipeline for financial transaction fraud detection. Incorporates SMOTE, ensemble models, neural networks.

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thabresh-s/Credit-Risk-Analysis

Credit Risk Analysis with Machine Learning

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thuvarahan97/DataStorm1.0_TeamFixzels 📦

Data Storm 1.0 - Business Problem - Team Fixzels

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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.

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anthonydwan/Kaggle-Tabular_Playground_Series_Jan_2021

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

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yuyutsusaini/COL774

All assignments of COL774-2022 Machine Learning course.

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

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

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Keshav25-2002/Lanthanide-Series-Affinity-Prediction

This project uses machine learning algorithms to predict the binding affinity of a set of ligands to the Lanthanide series of elements. The binding affinity is an important property of a molecule and is defined as the strength of binding between the molecule and the target protein. The project aims to build a predictive model that can accurately

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