[PDF] SUNIL KUMAR SINGH LinkedIn Profile: linkedin.com/in/





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Development Workflows for Data Scientists

08-Mar-2017 GitHub's machine learning team builds user-facing features using machine learning and big data techniques. Reuse is also one of the team's ...



Implementing version control with Git and GitHub as a learning

as a resource for statistics and data science instructors teaching courses at any level students to (1) create a GitHub profile of their own (2) create.



github-octoverse-2020-community-report.pdf

Based on keyword analysis profiles were categorized as education





Juan Jose Carin - Data Scientist

Passionate about data analysis and experiments mainly focused on user behavior



Knowledge graph engineer - Vincent Emonet

Deployed collaborative user-friendly and cost efficient documentation websites related to data science based on markdown and git (React



DASCA 2nd Downloadable

a short description of what the code and the project are about and how Many seasoned data scientists also use GitHub repositories to demonstrate their.



Mining the Network of the Programmers: A Data-Driven Analysis of

GitHub network. By introducing a distributed crawling framework we first collect profiles and behavioral data of more than 2 million. GitHub users.



Information Platforms and the Rise of the Data Scientist

In addition to housing information for future retrieval libraries play a critical role in the cre- ation of new information. As philosopher Daniel Dennett puts 



SUNIL KUMAR SINGH

LinkedIn Profile: linkedin.com/in/sunil-singh-71810490. GitHub Profile: https://github.com/sunilsinghuk. PROFILE. An IBM data science and Google.



google-data-analytics/Junior-Data-Scientist-Job-Description-pdf at

google data analytics professional certificate Contribute to elmoallistair/google-data-analytics development by creating an account on GitHub



Aleksandr Nikitin - Data Analysis Portfolio - GitHub

This is a repository that I have created to showcase skills share projects and track my progress in Data Analytics / Data Science related topics



Moataz-Elmesmary/Data-Science-Roadmap - GitHub

This repository is intended to provide a free Self-Learning Roadmap to learn the field of Data Science I provide some of the best free resources



data-scientists · GitHub Topics

An awesome Data Science repository to learn and apply for real world problems Repo for my Github profile page An R package to extract text from pdf



sajal2692/data-science-portfolio - GitHub

Data Science Portfolio Repository containing portfolio of data science projects completed by me for academic self learning and hobby purposes



rbhatia46/Data-Science-Interview-Resources - GitHub

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview



robinsones/Data-Science-Freelancers: An analysis of - GitHub

I created an application using R Shiny for data science freelancers to find their best-fitting jobs based on their skills profile text education level and 



Comprehensive Guide to GitHub for Data Scientists by Vatsal

18 avr 2022 · GitHub Tutorial for Data Scientists through UI Command Line Creating a GitHub account and installing Git on command line is fairly 



Resources - Benjamin Harvey - GitHub Pages

The Data Science Handbook Field Cady The Data Science Handbook Wiley 2017 Available for free as a PDF download [here: download 



Build a stunning GitHub Profile for Machine Learning & Data

4 jan 2023 · Build a stunning GitHub Profile for Machine Learning Data Science with 9 easy steps and tools · 9 Regularly update share your work · 8

  • How do I create a data scientist profile on GitHub?

    To track changes in the Data Science project, Git and GitHub can be used. As a data scientist, you need to have GitHub to collect data from different sources and modify or implement changes into the existing project file.
  • Can I use GitHub for data science?

    First, you need to make a repository on Github. Give the repository the name <your username>. github.io, then clone the repository to your local folder. After cloning to your local folder, search for portfolio projects made using HTML and CSS and copy them.
  • How do I present my data science portfolio on GitHub?

    Tips to Make an Amazing Data Science Portfolio

    1GitHub Profile. GitHub is a great platform to work on, store and showcase your projects. 2Start Small. 3Kaggle. 4Competitions and Hackathons. 5Portfolio Website. 6LinkedIn. 7Blogs. 8Deploy.
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