mvandermeulen Goto Github PK
Name: Mark
Type: User
Company: Fivenynes
Bio: Places for things to live: Openflow & OvS, K8s, Ansible, ML with Python & FastAPI
Location: Sydney, Australia
Name: Mark
Type: User
Company: Fivenynes
Bio: Places for things to live: Openflow & OvS, K8s, Ansible, ML with Python & FastAPI
Location: Sydney, Australia
The Data Engineering Cookbook
This is a repo with links to everything you'd ever want to learn about data engineering
Roadmap to becoming a data engineer in 2021
Accumulated knowledge and experience in the field of Data Engineering
A list of useful resources to learn Data Engineering from scratch
More than 2000+ Data engineer interview questions.
Roadmap for Data Engineering
The best place to learn data engineering. Built and maintained by the data engineering community.
Free Data Engineering course!
Code for Data Pipelines with Apache Airflow
Collection of useful data science topics along with articles, videos, and code
Data Science at the Command Line
Carefully curated resource links for data science in one place
A curated list of data science blogs
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Data Science E-books, Interview Resources and Cheat-sheets
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Data science interview questions with answers. Not ideally (yet)
Curated list of data science interview questions and answers
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data science interview questions and answers
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
A repo for data science related questions and answers
Data Science Roadmap from A to Z
Ways of doing Data Science Engineering and Machine Learning in R and Python
Database Naming Conventions & Best Practices
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.