This is a collection of machine learning models and templates for analysis of time series data.
Algorithms used: LSTM, Artificial Neural Networks, xgBoost, Support Vector Regression, Ridge/Lasso.
Logic includes code to perform time series splits and walk forward cross validation to help guard against over fitting and improve likelihood of model performance in live practice.
Running Performance:
Time Series Split Plot:
