Determines the worthiness of the car
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Updated
Jun 15, 2021 - JavaScript
Determines the worthiness of the car
Pima Indian Diabetes via Kaggle. Fit classification models (logistic regression, knn, random forest, xgboost) to data.
Extract important feature sequences from xgboost models
Would you have survived the titanic? Let the data decide!
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.
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.
Django Web App that uses XGBoost Classifier to predict whether or not an employee needs mental health treatment.
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