Deep Learning - A simple CNN to predict Handwritten Digits

This project consists of implementing a Deep Learning algorithm to detect handwritten digits.

Using Random Forest to Predict Heart Disease

Using database available at Kaggle, this project used Random Forest to predict heart disease.

Using XGboost to Predict Dyspnea in COVID-19 Survivors

This project used XGboost to predict dyspnea in COVID-19 survivors 6-9 months after hospital discharge.

Heart Disease Data set - An Unsupervised Learning Approach

This project consistis in an Unsupervised Learning analysis of the Heart Disease data set available in the UCI Machine Learning Repository