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Type: Organization
Type: Organization
A curated list of gradient boosting research papers with implementations.
A curated list of awesome Machine Learning frameworks, libraries and software.
Analysis of Categorical Encodings for dense Decision Trees
Course Files for Complete Python 3 Bootcamp Course on Udemy
The Data Engineering Cookbook
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Programming with Python for Data Science Microsoft
Carefully curated resource links for data science in one place
code for Data Science From Scratch book
A collection of machine learning resources that I've found helpful (I only post what I've read!)
Data Analysis examples
A collection of datasets of ML problem solving
The ultimate reference guide to data wrangling with Python and R
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Install Workshop Materials for Designing ggplots
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
A collection of useful .gitignore templates
Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one.
iml: interpretable machine learning R package
Interactive Tools: Machine Learning, Deep Learning, Math, and related fields
Book about interpretable machine learning
Book: Introduction to Python for Computational Science and Engineering
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
knn dashboard using Shiny and Plotly for UCI heart disease repository (https://archive.ics.uci.edu/ml/datasets/Heart+Disease)
Tutorials on how to use pandas effectively to do data analysis
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
A booklet on machine learning systems design with exercises
Formatted datasets for Machine Learning With R by Brett Lantz
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.