Notebooks
This repository contains notebooks used over at calmcode.io.
Scikit-Learn
An overview of how to use scikit-learn.
Course is found here and the notebook can be found here.
Scikit-Metrics
How can you customise metrics to pick the right model.
Course is found here and the notebook can be found here.
Scikit-Meta
How to apply post-processing in scikit-learn.
Course is found here and the notebook can be found here.
Scikit-Preprocessing
Can preprocessing suddenly make an algorithm work?
Course is found here and the notebook can be found here.
Human-Learn
Can we model by using Natural Intelligence?
Course is found here and the notebook can be found here.
Smoking
Is smoking good for you? Or can we lie with statistics?
Course is found here and the notebook can be found here.
Sleep
When is lack of sleep causing damage? When is it significant?
Course is found here and the notebook can be found here.
The Birthday Problem
Is the conclusion different if we don't assume all days are equal?
Course is found here and the notebook can be found here.
Stock Portfolio Optimisation
How can we balance risk and reward?
Course is found here and the notebook can be found here.
Jax
Can you compile towards a GPU by writing code like numpy?
Course is found here and the notebook can be found here.
Annoy
How do you practically solve the nearest neighbor problem.
Course is found here and the notebook can be found here.
Comprehensions
How comprehensions work in python.
Course is found here and the notebook can be found here.
Partial Fit
How to fit models with partial_fit.