Hands-on Tutorials

Analysing non-linear relationships with partial dependence plots (PDPs), mutual information and feature importance

Source: Author

With great power comes great responsibility

Source: flaticon

Why we need Responsible AI


Creating your first sentiment analysis model with Python

Source: flaticon

The 6 benefits of writing data science articles

Source: flaticon

Learn and improve technical skills

Using machine learning to predict if you are good at coding

source: flaticon

Fairness and Bias

An introduction to the field that aims at understanding and preventing bias in machine learning models

Source: flaticon

Analysing interactions using feature importance, Friedman’s H-statistic and ICE Plots

How to create time-series choropleths of US election results

Source: Author

Why we need to understand how our models make predictions

Source: flaticon

Overfitting with polynomial regression and how to avoid it

Source: Author

Conor O'Sullivan

Risk Data Scientist — Building credit risk and fraud models for the man. Exploring AI topics for myself.

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