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Perform EDA to understand the structure and characteristics of the dataset.
Visualize the data distributions and relationships between features.
Handle missing values and clean the data if necessary.
The EDA does not need to be exhaustive. At this stage, the focus is mainly on evaluating the appropriateness of the basic data cleaning and preprocessing steps and the quality of the conclusions drawn (e.g., from visualization).
What would you like to be implemented?
The EDA does not need to be exhaustive. At this stage, the focus is mainly on evaluating the appropriateness of the basic data cleaning and preprocessing steps and the quality of the conclusions drawn (e.g., from visualization).
Format: Jupyter Notebook in the
notebooks
folder.Is this a duplicate issue?
Code of Conduct
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