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University group investigation comparing the performance of tuned regression models for predicting US healthcare costs

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CoreAI

A group project applying artificial intelligence fundamentals to a chosen machine learning problem through a singular coursework task for IN3062 – Introduction to AI.

The project consists of:

  • data/ – a directory of the datasets used, see Data for more.
  • models/ – a directory of visualized results.
  • src/ – a directory containing a single Jupyter Notebook describing the approaches taken and results observed.

Data

The base dataset (healthcare.csv) was retrieved from Kaggle.

It contains over 1000 records of anonymous individuals from the US on health insurance plans, recording additional information such as their age, gender and BMI value.

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University group investigation comparing the performance of tuned regression models for predicting US healthcare costs

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