ML-model used to mitigate JS attacks with encoded / minified/ uglified JS code snippets

Framework de IA Generativa para la creación de datos tabulares sintéticos en sectores con datos sensibles. Implementación de modelos (CTGAN, TVAE, Tabular Diffusion) para equilibrar la utilidad estadística (ML) y la privacidad normativa (GDPR).

AI-powered healthcare chatbot built with Flask and GPT-3.5 — auto-detects user medical knowledge level and adapts responses accordingly. Supports voice input in English and Turkish with a hybrid Rule-based + ML + LLM classification engine.

multiplay,add,ReLLu tensor operations on GPU. Direct3D 11

Udacity ML project — notebook in progress (starter/finding_donors.ipynb). Local repo only; submission handled separately.

This project demonstrates a complete machine learning pipeline for image classification. It features a Convolutional Neural Network (CNN) built with TensorFlow and Keras to distinguish between cats and dogs based on a dataset of 2,000 images.

This repository provides a comprehensive machine learning course with theoretical concepts and practical implementations

Learning and exploring the fundamentals of Machine Learning with Python. This repository showcases my journey from scratch and experiments.

Multimodal Deep Learning for Android Malware Classification (Mach. Learn. Knowl. Extr. 2025)

Cookiecutter template for FastAPI projects using Machine Learning.

Docker build recipies for Alphafold 2

Binary classification of breast cancer using PyTorch. Used StandardScaler, LabelEncoder, Dataset, DataLoader, custom nn.Module model, BCELoss, and SGD. Focused on implementing a complete training pipeline, not optimizing accuracy.

End-to-end Ground Water Quality Prediction app using Streamlit.

Repository for my master's project entitled 'Mining Interface Components and Metadata in Mobile Applications.' It contains the source code for tools exclusively developed to mine, manage, and analyze the UI of mobile apps. The techniques employed are based on concepts from Web Crawlers, Data Science, and Machine Learning.

This project is a Python-based tool that converts videos to images. For each video in the "video" folder, it extracts frames and saves them as images in a corresponding directory within the "image" folder.

Materiais utilizados na disciplina Python para IA & Dados do MBA em Business Process Digital Automation & Emerging Technologies

DBEst, AQP engine

This repository has all relevant information for understanding Deep Learning