- statistics

#### Finding the best Wordle opening

Applying Python data analysis to determine the optimial wordle opening word and follow ups.

Python, statistics, and machine learning tutorials.

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- statistics

Applying Python data analysis to determine the optimial wordle opening word and follow ups.

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Python 3.9 introduced a new operator to streamline unions.

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Comparing inbuilt solutions to a range of external libraries.

- statistics

Low poly art animations using scipy is actually pretty simple

- statistics

A gentle introduction to genetic algorithms by recreating painting classics

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A gentle introduction to genetic algorithms by recreating painting classics?

- statistics

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

- statistics

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

- statistics

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

- statistics

Removing the hassle of misspelling from a dataset

- plotting

A visual thank you to our contributing sites

- statistics

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

- plotting

Turn your git log into a fancy video

- statistics

Exploring the difference between the graphs using python.

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A beginners introduction to Naive Bayes in python.

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A beginners introduction to logistic regression in python.

- plotting

Practise with pandas, python and plotly.

- plotting

Python Plotting Preferred Weather

- plotting

A quick redesign of an incidence reporting plot

- environment

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

- statistics

A practical Python explanation of Monte-Carlo integration

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Efficient inversion sampling explained with Python.

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

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Remove mostly empty columns to clean your data using pandas.

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

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The most efficient code snippet to one-hot encode columns

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Von Neumann rejection sampling explained with Python and animations.

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A toy model implementation

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

- plotting

Plotting DES institutions in a beautiful way

- bayesian

From samples back to model confidence regions

- bayesian

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

- bayesian

A tutorial from creating data to plotting confidence intervals.

- environment

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

- plotting

A short tutorial on additive blending using matplotlib and numpy.