A brief, probabilistic demand forecast model May 7, 2020SaremAlgorithms, Applications, Forecasting, Julia, Machine Learning, Time Series
Some experiments with Local Linear Regression. Part I – A primer on Local Linear Regression November 30, 2019SaremAlgorithms, Interpretable Machine Learning, Linear Model
Interpretable, scalable, non-linear – can we have it all? An approach with K-Means October 3, 2018SaremAlgorithms, Applications, Decision Trees, Python, Random Forest, Uncategorized
Non-Greedy MARS regression September 11, 2018Sarem2 CommentsAlgorithms, Hilbert Spaces, Linear Model, MARS, Python
Building a strong time-series forecasting model with simple indicator functions July 24, 2018Sarem6 CommentsAlgorithms, Applications, Forecasting, Python, Time Series
A partially interpretable, semi-parametric Neural Network April 9, 2018SaremAlgorithms, Applications, Machine Learning, Neural Networks, Python, Uncategorized
RuleFit on real-world data March 10, 2018Sarem16 CommentsAlgorithms, Applications, Decision Trees, Gradient Boosting, Machine Learning, Python
RuleFit for interpretable Machine Learning March 10, 2018Sarem7 CommentsAlgorithms, Decision Trees, Machine Learning, Python, Random Forest
