bassamhaniya Goto Github PK
Name: Bassam Haniya
Type: User
Bio: Passionate about #predict #optimise #simulate
Twitter: BassamHaniya
Location: Brazil
Blog: www.BassamHaniya.me
Name: Bassam Haniya
Type: User
Bio: Passionate about #predict #optimise #simulate
Twitter: BassamHaniya
Location: Brazil
Blog: www.BassamHaniya.me
files for my bash-scripting course on Safari Live
Bayesian Analysis with Python - Second Edition, published by Packt
:exclamation: This is a read-only mirror of the CRAN R package repository. BTYD — Implementing Buy 'Til You Die Models. Homepage: wcai.wharton.upenn.edu
Patched version of the BTYD package on CRAN
Computing in Optimization and Statistics
BACUDA project (WCO BAnd of CUstoms Data Analysts)
A functional, Data Science focused introduction to Python
a package for plotting maps in R with ggplot2
Hands-On Data Visualization with Bokeh, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
for the book "Introduction to Machine Learning with Python" S Guido and A Müller
A collection of IPython notebooks covering various topics.
Lifetime value in Python
Python codes for common Machine Learning Algorithms
Machine Learning with scikit-learn for Safari Books Online, intermediate
code for accessing the OpenCage Geocoding API in MATLAB
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
An R wrapper for pysd, using the CRAN reticulate package
Python Data Science Handbook: full text in Jupyter Notebooks
Resources for text book "System Dynamics Modeling with R"
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
All my notebooks and code examples I am using for teaching or Medium articles
Text and supporting code for Think Stats, 2nd Edition
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
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.