Defect detection in Nanofibers using Convolutional Neural Networks. This project was implements using Deep Learning library Keras. The documentation of the project is in English.
Technologies I've used:Python, Keras, Matplotlib
Classifying MRI brain images of healthy pacients and pacients that suffer of Alzheimer using 2D Convolutional Neural Networks. This was my final degree's thesis. The documentation is in Spanish.
Technologies I've used:Python, Keras, Matplotlib, Nibabel
In this case we've worked with a database of customer. Our goal was to predict the risk of default for credit card users. We wanted to have the F score as high as possible, that was the metric. They didn't care about understanding why, they care about making good predictions.
Technologies I've used: Python, Jupyter Notebook, Scikit-Learn, KNIME, Matplotlib, XGBoost
ToothTest is a Python's based script to make experiments about the evaluation of differences and similarities on different aspects of teeth. It was used in the congress poster: Color difference thresholds for esthetic gingiva restoration: a pilot study. It is under the Apache License.
Technologies I've used:Python, Tkinter
Web interactive map with the Restaurants that have vegetarian options in USA. This was made for fun and to learn how to create interative web maps.