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100 days of algorithms
Answers to 120 commonly asked data science interview questions.
Papers on Computational Advertising
Algorithms I learned from Stanford's Algorithms: Design and Analysis
A curated list of awesome Deep Learning tutorials, projects and communities.
Python library for Multi-Armed Bandits
Notebooks related to Bayesian methods for machine learning
Berry, Levinsohn, and, Pakes (1995) in R
Big Data for Data Engineers Coursera Specialization from Yandex
Python BLP code (Berry Levinsohn Pakes)
estimate BLP demand model in Matlab using state-of-the-art techniques
BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)
Short presentation & examples on the rubin model of causal inference
Repository with code and slides for a tutorial on causal inference.
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Uplift modeling and causal inference with machine learning algorithms
Discrete choice model estimation, with utilities for sampling, simulation, and other ancillary tasks
剑指Offer——名企面试官精讲典型编程题
Computational Advertising CTR
Quiz & Assignment of Coursera
Data sets and scripts for Coursera Big Data Specialization.
Repo for coursera specialization Advanced Machine Learning by Higher School of Economics
Coding assignments of MOOC on Econometrics on Coursera.
A repository of books in data science
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.