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  • šŸ‘‹ Hi, Iā€™m a Citizen Developer
  • šŸ‘€ Iā€™m interested in building web & mobile app solutions for social causes
  • šŸŒ± Iā€™m currently learning Microsoft PowerPlatform
  • šŸ’žļø Iā€™m looking to collaborate on levergaging the various components of PowerPlatform to its max potential
  • šŸ“« How to reach me : via Linkedin: www.linkedin.com/in/sujithmudaliyar

flopids's Projects

cdm icon cdm

The Common Data Model (CDM) is a standard and extensible collection of schemas (entities, attributes, relationships) that represents business concepts and activities with well-defined semantics, to facilitate data interoperability. Examples of entities include: Account, Contact, Lead, Opportunity, Product, etc.

datasciencer icon datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

diagrammer icon diagrammer

Graph and network visualization using tabular data in R.

dplyr icon dplyr

dplyr: A grammar of data manipulation

esm-206-2018 icon esm-206-2018

Bren School ESM 206 (Intro Data Analysis & Stats) materials

flopids icon flopids

Config files for my GitHub profile.

ggplot2-solutions icon ggplot2-solutions

My solutions to exercises in Hadley Wickham's "ggplot2: Elegant Graphics for Data Analysis" 2ed

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

r4ds icon r4ds

R for data science: a book

rmarkdown-book icon rmarkdown-book

R Markdown: The Definitive Guide (published by Chapman & Hall/CRC in July 2018)

shapash icon shapash

šŸ”… Shapash makes Machine Learning models transparent and understandable by everyone

swirl_courses icon swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

thinkpython2 icon thinkpython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.

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