Prediction models about the success of telemarketing on long-term deposits for a Portuguese bank .

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

An R library dedicated to helping users build regression models, providing text output to ease interpretation of the model’s results, and optimizing model specifications.

Course work & tutorials for "Machine Learning A-Z™"

A web app that helps Kickstarter creators increase their chances of being funded

Various variable selection methods are explored

an artificial intelligence project to recognize american sign language

Create and american sign language recognizer with hidden markov models

machine learning and data analysis wrote in python

Material for workshop on model evaluation and selection at SciPy India 2017

This project was in collaboration with University Hospital Birmingham

Built a system that can recognize words communicated using the American Sign Language (ASL). Trained a set of Hidden Markov Models (HMMs) using part of a preprocessed dataset of tracked hand and nose positions extracted from video to try and identify individual words from test sequences. Experimented with model selection techniques including BIC…

Combined hyper-parameter optimization and feature selection for machine learning models using micro genetic algorithms

model-describer production repo for machine learning interpretability

Kaggle Notebooks used at competitions or tutorials