davejscott/Dave-CV

Probabilistic_slow_feature_analysis

Probabilistic Slow Feature Analysis (PSFA) is a leading non-supervised machine learning algorithm to extract slowly varying features from time series data. This rendition of PSFA is effective for extracting slowly varying features from non-stationary and stationary process data

Canonical-Variate-Analysis-CVA

Simple Canonical Variate Analysis (CVA) utilizing Python

2019-UNSW-Tsinghua-Data-Science-Competition

My team's utilized code in the 2019 UNSW Tsinghua Data Science Competition

PythonDataScience

Working to develop more skillsets in data visualization and manipulation with Python for upcoming Data Science Competition in September 2019