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Algorithms for monitoring and explaining machine learning models
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
📚 Papers by organizations sharing their work on applied data science & machine learning.
:memo: An awesome Data Science repository to learn and apply for real world problems.
:whale: A curated list of Docker resources and projects
A curated list for awesome kubernetes sources :ship::tada:
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
A repository of machine learning codes written for re-usability
Descriptive mAchine Learning EXplanations
General Assembly's Data Science course in Washington, DC
This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
code for Data Science From Scratch book
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A repo for data science related questions and answers
Machine Learning and Data Analysis Case Studies using Spark.
Collection of interactive Jupiter Notebook widgets and graphs.
common data analysis and machine learning tasks using python
http://DataScienceSpecialization.github.io
Metis Data Science Bootcamp - Official Prework Repository
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Feature selector is a tool for dimensionality reduction of machine learning datasets
automated feature engineering
A very simple framework for state-of-the-art Natural Language Processing (NLP)
This repository focuses on learning, making and practicing interactive visualizations using Python, R, Google's Data Studio and Tableau. This is an independent learning project to showcase my visualization skills.
Introduction to Statistics using Python
Welcome to the Jungle - Pycon Colombia 2018 Workshop
Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
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.