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<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Up-to-date version of labs for ISLP
《파이썬 머신러닝 완벽 가이드(개정2판)》 예제 코드
The "Python Machine Learning (3rd edition)" book code repository
Statistics for Machine Learning, published by Packt
A New, Interactive Approach to Learning Data Science
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Time Series Analysis with Python Cookbook, published by Packt
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.