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Hello, OMLDS members! In our next (Part III) Lunch n'Learn, we'll complete the exploration phase for the Kaggle Credit Card Fraud Detection dataset. The agenda for this meeting:

  • Bivariate analysis with statistical hypothesis testing
  • Start creating new features from the dataset (feature engineering)
  • Exploratory data analysis main insights and conclusion

Github repo: https://github.com/OMLDS/OMLDS_ML_Project_2023

Since this is a live coding exercise, we will continue using the Google Colab notebook from our previous session (link: https://drive.google.com/drive/folders/1-4xR3QnHKedXdOPMOsC0qHV3N6NuoiVA?usp=sharing), so participants can use it to interact and participate online.

Hope to see you at the meetup!

Artificial Intelligence
Machine Learning
Data Analytics
Data Science
Python

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