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Type: User
Location: New York
Type: User
Location: New York
A hash-based extreme multi-class classification package
Python machine learning algorithm implementation including Gradient Descent, Newton Method, Gaussian Discriminant Analysis, Naive Bayes, SVM, Decision Tree
Implementation of Famous Machine Learning Algorithms
Code & Data for Introduction to Machine Learning with Scikit-Learn
Classification and Regression Methods
Content for Udacity's Machine Learning curriculum
Implementations of Machine Learning algorithms using only numpy with visualizations
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
All the solutions from the programming assignments of the Machine Learning Course in Coursera taught by Andrew NG, Professor of Stanford University
ICDSS Machine Learning Workshop Series: Machine Learning APIs
List of interesting articles on different topics of machine learning and deep learning
Machine Learning in Asset Management
Homework solutions and seminars of an elective course in Machine Learning on Bachelor's in Economics program in HSE.
This repository contains three reviewed projects which I had to pass in order to fulfill requirements and pass term 1 of Udacity's Nanodegree Machine Learning Engineer studies. Program was built around projects. When each project was completed, it was submitted to one of the Udacity's expert reviewers who give me a personalized feedback. These projects helped me gain valuable experience and build a portfolio of projects.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Machine Learning for finance and investment introduction
Machine Learning for Financial Market Prediction
A complete daily plan for studying to become a machine learning engineer.
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
常用机器学习的算法简洁实现
Repo for my graduate Machine Learning I work/research
《机器学习实战》练习代码
Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
Simple experiments and explorations related with machine learning and deep learning
Implementation of a Bayesian-style market maker in the vein of 'Intelligent Market-Making in Artificial Financial Markets' by Sanmay Das
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.