Using MkDocs for technical reporting
In this post I will explain why MkDocs is well suited for writing technical reports on machine learning models and introduce relevant parts of the MkDocs ecosystem.
Tim's blog
Using streamlit to set the threshold for a classifier
In this post I will demonstrate how to use streamlit to build an app that can help interactively set the threshold for your machine learning classifier. See also the code and the live demo app.
From Central Limit Theorem to Bayes's Theorem via Linear Regression
Take any statistics course and you'll have heard about the central limit theorem. And you might have read about Bayes' theorem offering a different, more probabilistic method. In this long post I'll show how they are related, explaining concepts such as linear regression along the way. I'll use math, history, code, examples and plots to show you why both theorems are still very relevant for modern data scientists.
Quickly finding closest coordinates using K-D-Trees
This post will demonstrate how to quickly find for a given coordinate (latitude and longitude), the closest coordinate out of a list of other coordinates using K-D-Trees and the Euclidean distance.
How to develop Python Google Cloud Functions
I've been using Google's Cloud Functions for a project recently. My use case was building a small webscraper that periodically downloads excel files from a list of websites, parses them and write the structured data into a BigQuery database. In this blogpost I'll show you why going serverless with cloud functions is so amazing and cost-effective. And I'll discuss some practical problems that have solutions you can't easily find in the documentation or stackoverflow.