CERberus -- guardian against character errors 🐶🐶🐶

The Evaluator app is a powerful and intuitive tool designed to streamline the evaluation process across professional performance and project assessments. With its user-friendly interface and customizable criteria, Evaluator simplifies the task of scoring and providing feedback.

A real-time fraud detection system that identifies suspicious credit card transactions using machine learning. The web application analyzes transaction patterns and provides instant risk assessments with visual indicators.

This is a simple and interactive House Price Prediction web app built with Flask and Linear Regression. Users can input square footage, number of bedrooms, and bathrooms to get an instant house price estimate.

This is a simple and interactive web application that detects whether a given message is spam or not using a machine learning model. It uses sentence embeddings (SimCSE) and a trained classifier to analyze message patterns and provide real-time predictions with confidence scores.

Public Repo: open-source code originating from the NETE Labs projects

Recommender Systems 2021/2022: Neural Network Recommenders Project

A course in econometrics lectures focus on quantitative methods and impact evaluation

Recommender Systems 2021/2022: Content Based Recommenders Project

Boston house prices prediction for machine learning nanodegree

Comprehensive evaluation of Claude 4 Sonnet's mathematical assessment capabilities: 500 original problems revealing JSON-induced errors and systematic patterns in LLM evaluation tasks. Research demonstrates 100% accuracy on incorrect answers but 84.3% on correct ones due to premature decision-making in JSON structure.

Machine Learning Engineer Nanodegree, Supervised Learning, Finding Donors for CharityML