Machine learning for malware detection in PDF files

In this project I used several machine learning models to compare their performance on malware detection. I then used ensemble and boosting methods to try to get better results. You can find the link to the code and the link to a canva presentation of the project.

Combine the power of LLM with data science to create a personalized bot

FruitBot is a chatbot that leverages the power of ChatGPT combined with a PyTorch algorithm to predict whether fruits and vegetables are good for consumption, while also suggesting suitable recipes based on the predictions.

Linear Regression from Scratch

In this project, I implement linear regression from scratch, using two different approaches: 1) A closed-form analytical solution 2) A gradient descent-based learning algorithm The goal is to understand how linear regression works under the hood, without relying on ML libraries like sklearn.

Logistic Regression from Scratch

This project demonstrates how to implement logistic regression from scratch in Python, without using libraries like scikit-learn.