Tutorials

Linear Regression Regularization Explained

Why do we regularize our linear models? When do we turn this on or off?

statistics

An Introduction to Gaussian Processes

Welcome to the wonderful world of non-parametric models and kernel functions.

statistics

Principle Component Analaysis Explained

What is PCA? How does it work? Is the math that bad? How do I use it? All answers lie within!

statistics

Fuzzy String Matching

Removing the hassle of misspelling from a dataset

statistics

Visualising Patient Contributions for the CCCC

A visual thank you to our contributing sites

plotting

Training a Neural Network Embedding Layer with Keras

Using python, Keras and some colours to illustrate encoding as simply as possible

statistics

Gource - Visualisating Code Contributions

Turn your git log into a fancy video

plotting

PR vs ROC Curves - Which to Use?

Exploring the difference between the graphs using python.

statistics

Naive Bayes - Introduction, Assumptions, and Pitfalls

A beginners introduction to Naive Bayes in python.

statistics

An Introduction to Logistic Regression

A beginners introduction to logistic regression in python.

statistics

Evolution of US COVID-19 cases

Practise with pandas, python and plotly.

plotting

Which Big City has the best Weather?

Python Plotting Preferred Weather

plotting

Plotting US COVID-19 Incidence

A quick redesign of an incidence reporting plot

plotting

Getting started with Boost, Python, and Numpy

After failing to find a tutorial that was actually complete, I decided to make one myself.

environment

Monte-Carlo Integration made easy

A practical Python explanation of Monte-Carlo integration

statistics

A visual tutorial of Inversion Sampling

Efficient inversion sampling explained with Python.

statistics

One Line Python Singletons

Goodbye boilerplate code, hello an elegant one line solution to get singletons in python

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Removing Empty Columns

Remove mostly empty columns to clean your data using pandas.

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Handy Python Decorators

A short example on how to use decorators in your code to provide extra functionality

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Trivial One Hot Encoding in Python

The most efficient code snippet to one-hot encode columns

snippet

A visual tutorial of Rejection Sampling

Von Neumann rejection sampling explained with Python and animations.

statistics

Forward Modelling for Supernova Cosmology

A toy model implementation

statistics

A/B Test Significance in Python

Using Python to determine just how confident we are in our A/B test results

statistics

Visualising with Basemap

Plotting DES institutions in a beautiful way

plotting

Propagating (non-gaussian) uncertainty

From samples back to model confidence regions

bayesian

Bayesian Sample Selection Effects

Sample bias and selection effects are the worst. Here's one solution.

bayesian

Bayesian Linear Regression in Python

A tutorial from creating data to plotting confidence intervals.

bayesian

Setting up a scientific python environment

A super short guide to quickly setting up a viable python environment.

environment

Additive Blending in Matplotlib

A short tutorial on additive blending using matplotlib and numpy.

plotting