Skip to content
View cskaust's full-sized avatar
2 followers · 14 following

Achievements

Achievement: Pull Sharkx2
BetaSend feedback

Achievements

Achievement: Pull Sharkx2
BetaSend feedback
Block or Report

Block or report cskaust

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
cskaust/README.md
  • 👋 Hi, I’m @cskaust
  • 👀 I’m interested in data science(R, Python )
  • 🌱 I’m currently learning R Programming
  • 💞️ I’m looking to collaborate on data science projects
  • 📫 How to reach me, just fork this and type hi;)

Top Langs

GitHub Streak

cskaust's GitHub stats

Metrics

trophy

trophy

Popular repositories

  1. MultipleLinearRegressionInR MultipleLinearRegressionInR Public

    This Repository contains my code for doing Multiple Linear Regression in the R programming language

    R 2

  2. pygame pygame Public

    Forked from pygame/pygame

    🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, Ope…

    C 1

  3. MIT-6.042j-Mathematics-for-Computer-Science MIT-6.042j-Mathematics-for-Computer-Science Public

    Forked from linkel/MIT-6.042j-Mathematics-for-Computer-Science

    MIT 6.042j OpenCourseWare Mathematics for Computer Science

    TeX 1

  4. Luna Luna Public

    Indian Mental Health Platform

    1

  5. IntroductionToComputationalThinking-DataScience-MIT- IntroductionToComputationalThinking-DataScience-MIT- Public

    MIT OPEN-COURSEWARE

    1

  6. IntroductionToAlgorithms-MIT- IntroductionToAlgorithms-MIT- Public

    I am taking the Introduction To Algorithms(6.006) , Lectured by Prof. Erik Demaine & Prof. Srini Devadas on MIT OPENCOURSEWARE.

    1