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Codes for Kaggle Competitions
Learn Kubernetes and Docker with Google Kubernetes Engine deploying Spring Boot Microservices
My implementation of Linear Regression and Logistic Regression using python and numpy
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Machine Learning Resources by Jason Brownlee
A collection of machine learning examples and tutorials.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Preparing for machine learning interviews
A notebook for machine learning interview
Tutorial on Using Pandas
Practice your pandas skills!
Using pandas for Better (and Worse) Data Science
Collection of Jupyter Notebooks about Python programming
The "Python Machine Learning (2nd edition)" book code repository and info resource
Python Data Science Handbook: full text in Jupyter Notebooks
R exercises and examples
Source code for R in Action, Second Edition
Sample Tomcat Maven App
My solutions to quizzes, exercises, and projects in the Udacity Intro to Machine Learning course
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
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.