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FRIENDLY DATA SCIENCE TUTORIALS

Python Tutorials

Data wrangling with pandas

Learn how to use the pandas package in python to explore, select, filter and sort your data, create new variables and produce summary statistics.

An introduction to scikit-learn in python

A tutorial on how to use one of the main machine learning packages in python to create and compare powerful predictive models and modelling pipelines.

Product associations with Yule's Q and hierarchical clustering in Python

Learn about the Yule's Q measure of association and use hierarchical clustering to visualise product clusters.

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Building a segmentation in Python with k-means clustering and PCA

Learn how to build a segmentation in Python using the k-means algorithm and principal component analysis from the sklearn package.

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EASE the Embarrassingly Shallow Autoencoder recommender model

Learn how to build the state of the art EASE recommender model with just a few lines of numpy

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LightFM tutorial building a wine recommender in Python

Learn how to build a hybrid matrix factorisation model to create recommendations in Python with the LightFM package.

DBSCAN and t-SNE tutorial in Python

Use density based clustering in Python to spot credit card fraud and visualise the results with t-SNE.

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Joining data in Python with pandas

Learn how to merge data in Python using the pandas package.

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Market Basket Analysis in Python with pandas

Learn how to perform market basket analysis using pandas and understand from first principles how the associations are calculated.

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Alternating Least Squares and Bayesian Personalized Ranking

Build a recommendation engine using collaborative filtering, matrix factorisation models Alternating Least Squares and Bayesian Personalized Ranking

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