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Kaggle: Predict the Introverts from the Extroverts

I’ve spent the last few months (and continue to spend them) working for an EV startup - as such, I’ve had a lot less time for personal projects such as this. The Kaggle notebook for this project can be found here: https://www.kaggle.com/code/jamesdeluk/ieclassifier It’s a quick and dirty one, not particularly tidy - I just felt the urge to have a play. Don’t judge me. Intro A simple challenge from Kaggle’s Playground series, called Predict the Introverts from the Extroverts. It can be found here: https://www.kaggle.com/competitions/playground-series-s5e7

  • Data Science
  • Classification
  • Clustering
  • Regression
  • Python
Friday, July 25, 2025 | 7 minutes Read
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Customer Analysis Part II: Classification

This is part two of a multi-part series. Part one, segmentation and clustering, can be found here. Code for this section can be found in the repo: https://github.com/jamesdeluk/data-projects/blob/main/customer-analysis/ca2_classification.ipynb Intro Great, we have our customers clustered! But, hopefully, over time, we’ll gain more customers, and they’ll need to be assigned to an existing cluster. This is called classification. There are a few techniques for doing this. First, let’s remind ourselves what our current clusters look like by grouping the data and finding the means, as we did in part one:

  • Data Science
  • Data Analysis
  • Classification
  • Regression
  • Customer Analysis
  • Python
Monday, November 18, 2024 | 19 minutes Read
Contact me:
  • james@gibbins.me
  • jamgib

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