📓 [Active] Portafolio of data science projects. Using: Python, PyTorch, Spark, Tensorflow, Scikit, Keras. Includes Classification, Regression, Time series, NLP, Deep learning, among others.

A parser for scikit-learn exported text models to execute in the Java runtime.

it is simple 2 layer neural network using only numpy as dependency

Projects for ECE 475 - Freq. Machine Learning

Programs from dr Kycia's natural processing language lectures at CUT.

Heart Arrhythmias Detection with Convolutional Neural Network From ECG signal

Predict onset of diabetes using Sci-kit learn and Tensorflow

A project developed as part of my dissertation for my degree in Computer Science BSc. This work proposes a solution to predicting the number of Bd infected amphibians in North America. It is important to estimate these figures to help build preventative methods to stop the spread of the disease. The problem being dealt with by this application i…

Check out the projects that I have made using scikit-learn.

This is the Github repository for our CS Senior Capstone project, which is Machine Learn Your Way To March Madness Glory. Our client is Dr. Victor Hsu, our team consists of Alex Hoffer, Jacob Smith, and Chongxian Chen, and our instructor is D. Kevin McGrath.

Designed a webscrapping script to apply a predictive model to a self generated dataset of an online classified