Mousteph's repositories
MLOPS_Wine_Quality
Predicting Red Wine Quality with MLOPS: A complete system for wine quality prediction, data management, and data drift monitoring. This project uses Docker containers, Streamlit for user interfaces, PostgresSQL to save the data, and Kafka for data communication, providing a robust pipeline for wine quality predictions.
PortFin
PortFin is a project designed to compare the performance of dynamically allocated investment portfolios with the market, S&P500. It leverages historical data of the assets of the S&P500 to generate new portfolios each year and allocates assets accordingly. All the information is then compiled into a PDF report.
Anomaly_detection
Anomaly Detection using Machine Learning Models on the UGR'16 Dataset. Explore the effectiveness of Isolation Forest, One-Class SVM, and XGBoost in identifying anomalies in a subsampled dataset from July 2016.
Object_detection_GPGPU
An object detector for processing videos, delivering quasi real-time results using CUDA.
Skin_disease
This project is designed for classifying various skin diseases using the HAM10000 dataset. It leverages a trained model, explains predictions using LIME, and provides multiple interfaces for users, including a server, a graphical user interface, a command-line interface, and an API.