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Name: Wael Muzarzaa
Type: User
Name: Wael Muzarzaa
Type: User
A 9-hour Python tutorials focusing on data processing
🧑🏻💻Implementations of all AI ,Data Science algorithms from Scratch for Starting Out🔰
Self-study on Larry Wasserman's "All of Statistics"
This repository contains my work while completing the specialization created by University of Michigan on Coursera. The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
Content for Applied ML Workshop @ DataHack Summit 2019
The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.
The art of effective visualization of multi-dimensional data
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome network analysis resources.
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
A curated list of awesome Python frameworks, libraries, software and resources
A curated list of awesome WYSIWYG editors.
How to do Bayesian statistical modelling using numpy and PyMC3
This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX
This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Berkeley and Databricks on edX
Natural Language Processing and ML Prediction of the Bible
Get Tweet by giving keyword and do keyword analysis
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Data Cleaning In Python and Julia with Practical Examples
Data Oriented Programming (lecture winter term 2019)
Cheat Sheets
For extensive instructor led learning
code for Data Science From Scratch book
Data Science Tutorials
A short tutorial for data scientists on how to write tests for code + data.
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.