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Name: Ashish Powani
Type: User
Bio: Data Enthusiast
Location: New York
Name: Ashish Powani
Type: User
Bio: Data Enthusiast
Location: New York
Answers to 120 commonly asked data science interview questions.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A list of awesome and proven data science use cases and applications
The official repository for Babel, the Python Internationalization Library
Resources for Oreilly's "Cracking the Data Science Interview" video series.
This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
I have performed analysis on various datasets using different tools like Rapid Miner and SAS Enterprise Miner
Data Science Hackathon 2017 competition
Lab and Exercises for ISLR
Python codes for common Machine Learning Algorithms
This is a course offered by Siraj Raval on youtube about math and statistical concepts used in machine learning.
Jupyter Notebooks for the Python Data Science Handbook
This repository contains the regression techniques applied on Data sets
This Repository contains the R sprints of the Statistical Data Mining course at USF
Microsoft: DAT201x Querying with Transact-SQL from edx
This contains some of my python notebooks and exercises provided by thinkPython and thanks @theGreenTeaPress & Allen B. Downey!
A visualization grammar.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.