Catch Phisher is a comprehensive phishing detection kit enhanced with intelligent surveillance capabilities. The solution includes a web app, a browser extension, and the Phish Guard assistant, providing multi-layered protection against phishing. The browser extension acts as a real-time monitor, scanning URLs and cross-checking them with a db.
Investigating the evolution of XGBoost in the Decision-Making Process of Android Malware Classification
Real time journey planner for Dublin Bus (Ireland). Uses ML techniques to predict journey times, implemented with Django framework.
Fit XGBoost models online
An intelligent Django web-application for predicting Dublin Bus travel times. This project involves backend and frontend development, machine learning, database management, research and agile development techniques.
Determines the worthiness of the car
Pima Indian Diabetes via Kaggle. Fit classification models (logistic regression, knn, random forest, xgboost) to data.
"Stock Ticker Predictor" project basically aims to provide a visual representation and analysis of data related to time-series data which is constantly changing. This provides a dashboard to user, made using reactJs - tailwindCSS, displaying current trends and stocks data which uses "LSTM" + "XGBoost" model.
Extract important feature sequences from xgboost models
Would you have survived the titanic? Let the data decide!
Add a description, image, and links to the xgboost topic page so that developers can more easily learn about it.
To associate your repository with the xgboost topic, visit your repo's landing page and select "manage topics."