SVM

This project explores the application of Support Vector Machines (SVM) in classifying human cell records to predict the malignancy of breast cancer samples. By training an SVM model on a dataset of breast cancer features, the goal is to accurately differentiate between benign and malignant cases. This research aims to contribute to the development of early detection and diagnosis methods for breast cancer.

This project aims to develop a robust and interpretable machine learning model for early detection of cyberattacks within network systems. By analyzing network traffic data and identifying patterns associated with malicious activities, the model strives to improve network security and prevent potential cyber threats.

Evaluación de distintos modelos para clasificar aguas entre potables y no potables

Small (Python) project to predict facial expressions using a SVM and facial landmarks. Contains a notebook with commented code + additional code snippets.

Prediction of Wine quality

Final Project that used SVM classfication to judge cheer leading motions.