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531w20-time-series-analysis

STATS 531 (Winter 2020) ‘Analysis of Time Series’

531w21-analysis-of-time-series

Stats 531 (Winter 2021) ‘Analysis of Time Series’ (https://ionides.github.io/531w21/)

algorithms-sedgewick-python

Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python

artofpostgresql

repo hold my artifacts working through the book, The Art of PostgreSQL

calm-notebooks-scikit-learn-crash-course

notebooks that are used at calmcode.io https://www.youtube.com/watch?v=0B5eIE_1vpU

cheatsheets

RStudio Cheat Sheets

data_analysis_and_prediction_algorithms_with_r

Repository for data science book

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

demand-prediction-guide

2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

dobson

A data-only R package of datasets for the examples from Dobson and Barnett "An Introduction to Generalized Linear Models" (4th ed)

doing-bayesian-data-analysis-in-brms-and-the-tidyverse

The bookdown version lives here: https://bookdown.org/content/3686

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

doing_bayesian_data_analysis_kruschke

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS

geodatasets

Synthetic datasets for geoscience (geo)statistical modeling

gradientdescentexample

Example demonstrating how gradient descent may be used to solve a linear regression problem

hadoop-fundamentals-book

Code for the Hadoop Fundamentals for Data Scientists course.

handson-ml2

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.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

latex-beginner-s-guide-second-edition

LaTeX Beginner's Guide - Second Edition, published by Packt

learning_python_lutz

Textbook Learning Python by Mark Lutz

pandas-pipelines-custom-transformers

Material for Talk at PyData Seattle 2017

pandas-tutorial

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.

practical-time-series-analysis-oreilly

product-recommendation-with-watson-ml

Build a recommendation engine with Spark and Watson Machine Learning

pyspark_dataframe_sql_basics

The Repository for all code I use in my Data Science and Machine Learning Tutorials on YouTube

python-tutorials_data360

python3-cookbook-

《Python Cookbook》 3rd Edition Translation

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.