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Numbers and Code

Machine Learning, Data Science, Statistics

  • Blog
  • Learn
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  • About
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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

A brief proof-of-concept for Kernelized Decision Trees

March 22, 2018SaremApplications, Classification, Decision Trees, Machine Learning, Python

How Decision Trees can learn non-rectangular decision splits

March 18, 2018SaremClassification, Decision Trees, Machine Learning, Python

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
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