Skip to content

koaning/calm-notebooks

Repository files navigation

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.

Course is found here and the notebook can be found here.

About

notebooks that are used at calmcode.io

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published