Rudimentary analysis of internet usage by country (AT, CH, DE, IL, GB, CZ) and age

Some notes and points based on EDA of the data. Some nice box-plots created by Plotly.

This post is based on the README here where newer versions might be available. MLEM promises that you: Use the same human-readable format for any ML framework This is a bold promise and in this repo I will explore it a little (and maybe some other features as well). Note …

Somehow advanced usage of python's enums. Including a discussion on testing of those custom entities.

Motivation Consider the case where you implement some logic somewhere, and this logic should be used from within several different places. Think of a logic and two apps using it. The logic should be yielding logging messages that would be visible as part of the running of the different apps …

You will build a RESTful API exposing a trained prediction model.

I recently came across a wonderful post by Talia Borodin titled "Think Your Company Needs a Data Scientist? You're Probably Wrong". If you didn't ready it yet, make sure you do it! It contains a wonderful collection of truths that every individual who has anything to do with data science …

Showing that at least in one certain case the two tests are the same

Tutorial on how to start a cluster of dask instances on AWS (EC2). Using this cluster execute an expansive grid search.

When grouping by DataFrame the order does matter and may be surprising.