Tino Kanngiesser's Projects
Notebooks for the Altair tutorial
python implementation baseline recommender systems
Content from "Making Beautiful Objects with Jupyter", originally presented at JupyterCon2018
A convenient way to manage your Azure Data Storage with Python.
Python and R code snippets
Collection of useful notebooks and snippets
All the slides, accompanying code and exercises all stored in this repo. 🎈
some toy datasets to play with
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
B21145 - Deep Learning for Time Series Data Cookbook
A convenient way to manage to show and log the delta between two Pandas dataframes.
transform a pandas dataframe in a convenient way using a pipeline approach
Run standard t-tests, simulations, and Bayesian difference in means tests with R and Stan
A convenient way to preprocess your data by using metadata.
examples of exploratory data analysis
Building event chains in a convenient way
Materials for following along with Hands-On Data Analysis with Pandas.
Hands-On Recommendation Systems with Python published by Packt
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Examples of matplotlib codes and plots
Code from the Pearson Addison-Wesley book Machine Learning with Python for Everyone
Python
Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
Code Examples used in https://www.amazon.com/Everyone-Advanced-Analytics-Graphics-Addison-Wesley/dp/013454692X