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To demonstrate a full data science life cycle, you are strongly suggested to use the data and domain you have explored in Project
A specified dataset
Data from public repositories
Firstly, study your dataset and choose the response (i.e., target) variable suitable for a classification task. The remaining variables can be your feature variables. You may need to discard some character string and categorical columns. Columns that have a unique value for each row should be discarded, e.g. etc. If possible, formulate it as a binary classification problem, as multi-class classification is very difficult and is not covered in the lectures.
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