8000 indymitra · GitHub
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content
View indymitra's full-sized avatar

Block or report indymitra

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. ISL_Tibshiranipy ISL_Tibshiranipy Public

    Forked from DTRuiz/ISLpy

    Introduction to Statistical Learning with Python

    Jupyter Notebook

  2. ISLR-python-Tibshirani ISLR-python-Tibshirani 5110 Public

    Forked from JWarmenhoven/ISLR-python

    An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

    Jupyter Notebook

  3. an-introduction-to-statistical-learning-2e-code an-introduction-to-statistical-learning-2e-code Public

    Forked from MichaelAlexanderBryant/an-introduction-to-statistical-learning-2e-code

    Solutions and code examples from An Introduction to Statistical Learning (Second Edition) by James, Witten, Hastie, and Tibshirani.

    R

  4. ISLR-but-python ISLR-but-python Public

    Forked from alexandrasouly/ISLR-but-python

    This repository contains labs rewritten in Python for the book An Introduction to Statistical Learning with Applications in R by James, Witten, Hastie, Tibshirani (2013)

    Jupyter Notebook

  5. ims-tutorials ims-tutorials Public

    Forked from OpenIntroStat/ims-tutorials

    Interactive tutorials developed with the learnr package supporting the textbook OpenIntro::Introduction to Modern Statistics.

    HTML

  6. ims ims Public

    Forked from OpenIntroStat/ims

    📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.

    JavaScript

0