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A curated list of applied machine learning and data science notebooks and libraries across different industries.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Examples for Kubeflow and Kubeflow pipelines
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
:speech_balloon: Machine Learning Course with Python
π€ Interactive Machine Learning experiments: ποΈmodels training + π¨models demo
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Sample applications built using AWS' Amazon Machine Learning.
A concise resource repository of machine learning
π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
Source code accompanying O'Reilly book: Machine Learning Design Patterns
π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
A repository to index and organize the latest machine learning courses found on YouTube.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Companion webpage to the book "Mathematics For Machine Learning"
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
music21 is a Toolkit for Computational Musicology
Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and techniques.
Natural Language Processing Best Practices & Examples
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
The fundamental package for scientific computing with Python.
Machine learning, in numpy
Stock options, RSUs, taxes β read the latest edition: www.holloway.com/ec
A repository for sharing code and my various projects
Set-oriented Operations in Pandas
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.