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A list of awesome and proven data science use cases and applications
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Visualizing Joseph Heller's Catch-22
Essential Cheat Sheets for deep learning and machine learning researchers
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
Github pages site for non-JHU data science content
The Leek group guide to data sharing
Developing Data Products Course from the Johns Hopkins Data Science Lab
Metis Data Science Bootcamp - Official Prework Repository
This ebook from Jason Brownlee, and many others.
Plotting Assignment 1 for Exploratory Data Analysis
Create mathematical art with R
Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras
Repository for Programming Assignment 2 for R Programming on Coursera
Project for Coursera - Getting & Cleaning Data
An R package for the Quantitative Analysis of Textual Data
Text corpus analysis in R
A companion book for the Coursera Regression Models class
Peer Assessment 1 for Reproducible Research
Personal bookmarks and cheat sheets
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.