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算法/数据结构/Python/剑指offer/机器学习/leetcode
Supporting materials for Claus Wilke's data visualization book
R package of data and code behind the stories and interactives at FiveThirtyEight
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
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.
Analysis code produced at the Humboldt-Universität zu Berlin
Learn Python 3 Sample Code
Lecture Notes for Linear Algebra Featuring Python
Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
Machine Learning in R
Modern Statistics with R
中文 Python 笔记
Online R learning for applied statistics
A website for the book "Probability and Statistics with R, Second Edition" (http://alanarnholt.github.io/PASWR2E-Book/)
The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data. This includes data transformation, specification of groups that are to be com
Python Data Science Handbook: full text in Jupyter Notebooks
Exercises (incl. analyses) with R language (math+statistics)
R Bioinformatics Cookbook, published by Packt
Useful R commands for statistics
R Programming By Example, published by Packt
R Statistics Cookbook, published by Packt
R for data science: a book
Materials for teaching R and tidyverse
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning
Source files for "Learning Statistics with R"
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.