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Beyond-test
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of data engineering tools for software developers
An Awesome List of Open-Source Data Engineering Projects
Learn how you can plan smartly, collaborate better, and ship faster with a set of modern development services with Azure DevOps.
Black Dashboard - Flask Template | Creative-Tim
Boilerplate Code - Flask Dashboard Template project | AppSeed
BI project for an insurance technology company
Simple example how to present data in Quix Data catalogue using Plotly and Dash library in Python.
Analitics for Telecom Industry based on Call Detail Records
Utility to generate Telecom Call Detail/Data Records Generator
Call Analytics Solution for Freeswitch, Asterisk, Kamailio and other VoIP Switches
Telecom CDR Data Analytics Project
Predicting customer churn repo focusing on the software engineering part
Code for Methods in Ecology and Evolution paper: "A Convolutional Neural Network for Detecting Sea Turtles in Drone Imagery"
:recycle: :telephone_receiver: Predicting whether a customer will change telecommunications provider and tracking experiments with mlflow
Bootcamp Data Analyst avec Python: Des bases de Python à l'analyse et visualisation de données pour l'extraction de connaissances et storytelling
A list of useful resources to learn Data Engineering from scratch
Telecom companies record their users’ activity data, i.e. calls, SMS and internet usage for billing and monitoring purposes. This data is commonly called Call Detail Record (CDR) data, though apart from calls, it also contains data of text messages, internet usage etc. Since a typical telecom company has millions of users, they generate massive quantities of data. In this I analyse the ‘Milano Grid’ telecom data which contains the telecommunication activity recorded over the city of Milano in Italy. The data is collected by the Telecom Italia cellular network over the city of Milano.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Teaching materials in python at the @ENSAE
Flask Dashboard - Adminator Design | AppSeed
Flask Dashboard - Now UI Design | AppSeed
Telecom CDR Data Analytics Project
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
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.