A hidden Matplotlib hack waiting to be discovered.
10 must know loss functions, along with their limitations and benefits.
A practical guide to missing data assumptions and why they are important.
...And what to use instead, along with a genuine advice on summary statistics.
Declutter your Jupyter notebook and boost your data analysis in seconds.
Looking back to the pre-Transformer times.
Here's a mistake that often goes unnoticed.
8 automated EDA tools in a single frame.
Another issue with KMeans and here's how to address it.
A step-by-step visual guide to mini-batch KMeans.
The difference between probability density function and probability.
A 2-min visual guide to popular cross validation techniques.