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Name: norma
Type: User
Name: norma
Type: User
STATS 531 (Winter 2020) ‘Analysis of Time Series’
Stats 531 (Winter 2021) ‘Analysis of Time Series’ (https://ionides.github.io/531w21/)
Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
repo hold my artifacts working through the book, The Art of PostgreSQL
notebooks that are used at calmcode.io https://www.youtube.com/watch?v=0B5eIE_1vpU
RStudio Cheat Sheets
Repository for data science book
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
A data-only R package of datasets for the examples from Dobson and Barnett "An Introduction to Generalized Linear Models" (4th ed)
The bookdown version lives here: https://bookdown.org/content/3686
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Synthetic datasets for geoscience (geo)statistical modeling
Example demonstrating how gradient descent may be used to solve a linear regression problem
Code for the Hadoop Fundamentals for Data Scientists course.
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.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
LaTeX Beginner's Guide - Second Edition, published by Packt
Textbook Learning Python by Mark Lutz
Examples and guides for using the OpenAI API
Material for Talk at PyData Seattle 2017
This is the cheat sheet Jupyter Notebook I made for my Pandas Learn in One Video Tutorial. I basically condensed the Pandas API down into this one cheat sheet with hundreds of examples. I hope you find it useful.
Build a recommendation engine with Spark and Watson Machine Learning
The Repository for all code I use in my Data Science and Machine Learning Tutorials on YouTube
《Python Cookbook》 3rd Edition Translation
Python Data Science Handbook: full text in Jupyter Notebooks
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.