The counterintuitive behaviour of inplace operations.
An intuitive and reliable technique to measure feature importance.
Jupyter is cool. Let's make it super cool.
Here's an explanation you always wanted to read along with an intuitive analogy.
Building MTL models in PyTorch.
Four critical model training paradigms that you MUST know for real-world ML modelling.
Make your model less overconfident.
Magic methods: The gem of Python OOP.
A concise and elegant way to create visualisations.
The statsmodel summary guide you always wanted to read.
A hidden reason for training failure.
The guide that every everyone must read to manage ML experiments like a pro.