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Numbers and Code

Machine Learning, Data Science, Statistics

  • Blog
  • Learn
  • Books
  • Consulting
  • About
  • Disclaimer
  • Cookie Policy (EU)

Exploring Decision Trees in Hilbert Space

September 3, 2018SaremDecision Trees, Hilbert Spaces

Another simple time-series model – using Naive-Bayes for forecasting

August 2, 2018Sarem3 CommentsClassification, Forecasting, Naive Bayes, Time Series, Uncategorized

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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Recent Posts

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  • Why probability and uncertainty should be an integral part of regression models (II)
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  • Some interesting observations with Distance Correlation coefficients
  • A brief, probabilistic demand forecast model

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