This repository contains an Anaconda Jupyter Notebook that explores the identification of spam emails using a dataset. The notebook covers basic data cleaning, exploration, and visualization techniques to understand the characteristics of spam emails. No machine learning algorithms are used in this notebook, it is meant for educational purposes and to give a basic understanding of spam identification. The dataset used in the notebook is also included in the repository for reference.
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The notebook covers basic data cleaning, exploration, and visualization techniques to understand the characteristics of spam emails.