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  1. ML_for_Hackers ML_for_Hackers Public

    Forked from johnmyleswhite/ML_for_Hackers

    Code accompanying the book "Machine Learning for Hackers"

    R

  2. shiny-examples shiny-examples Public

    Forked from rstudio/shiny-examples

    JavaScript

  3. Elements-of-Statistical-Learning Elements-of-Statistical-Learning Public

    Forked from ajtulloch/Elements-of-Statistical-Learning

    Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

    TeX

  4. CS273a-Introduction-to-Machine-Learning CS273a-Introduction-to-Machine-Learning Public

    Forked from vrdmr/CS273a-Introduction-to-Machine-Learning

    Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quant...

    MATLAB

  5. STAT545-UBC.github.io STAT545-UBC.github.io Public

    Forked from STAT545-UBC/STAT545-UBC-original-website

    Main repository for STAT 545 @ University of British Columbia, a course in data wrangling, exploration, and analysis with R.

    HTML

  6. RHadoop-tutorial RHadoop-tutorial Public

    Forked from andrie/RHadoop-tutorial

    A tutorial on R and Hadoop, using the RHadoop project

    HTML

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