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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
useful books
The Leek group guide to data sharing
Study resources for quantitative finance
Python toolkit for quantitative finance
Hands-On Machine Learning for Algorithmic Trading, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
The ultimate in python interview preparation and coding practice.
Proposed solutions to LeetCode problems.
We implement linear regression model using three Python packages: scikit-learn, numpy, and tensorflow. The main goal is to compare the performances of the three implementations. This project is based on an assignment from the course "Guided Tour of Machine Learning in Finance" (NYU) offered on Coursera.
Mathematica implementations of machine learning algorithms used for prediction and personalization.
Machine Learning in Finance: From Theory to Practice Book
A collection of problems and solutions, primarily of the quantitative nature.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Our Python Programming Interview
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
resources of quantitative trading
Two columns curriculum vitae
An implemention of Tobit Regression using TensorFlow.
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.