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Anh Nguyen from Lancaster's Projects

introduction_2_r icon introduction_2_r

In one of out first meetings we started with an introduction to R. We started with installing R, getting data in and out of R and how to write functions and loops. Here are the files with code and text to follow the sessions. Most of the sessions start with a PDF file.

introduction_iml_bliz_summerschool icon introduction_iml_bliz_summerschool

This repository provides a short introduction into the most popular model-agnostic IML (interpretable machine learning) methods. A presentation containing the theoretical background and examples as well as excercises on real-world data are included.

introductiontoada icon introductiontoada

Introduction to Accounting Data Analytics and Visualization (University of Illinois at Urbana-Champaign)

introductiontoprobability icon introductiontoprobability

Clone of the (now open-sourced) Grinstead and Snell 1998 "Introduction to probability" book and related algorithms

introductiontoprobabilitypy icon introductiontoprobabilitypy

Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition

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