This is week 3 of #mlzoomcamp and it was all about ML for Classification
I learned how to predict the likelihood of a customer churning using a telco dataset from kaggle. I have worked on this problem before so it was easy to understand.
The assignment was to to use the lead scoring dataset Bank Marketing dataset to classify if the client signed up to the platform or not; using the converted variable (column).
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