GitHub to Colab in a second.
Always review what a specific implementation is hiding underneath.
A cool Jupyter extension.
Assumption turned into performance validation.
Another hidden gem for data visualization.
Understanding the upsides and downsides.
...with an analogy.
A cool Jupyter hack.
A quick pros and cons summary of PCA.
Loss functions of common ML algorithms depicted in a single frame.
If not, when is it not needed?
Quick data labelling from the comfort of Jupyter.