Marketing Of The Portuguese Banking Institute

Hello my Kaggle friends

This dataset is related to a telemarketing campaign in Portugal
The objective of the classification is to predict whether a customer will subscribe to a term deposit (variable y) or not.

Data set information:
Marketing campaigns are based on phone calls. Often, we need more than one phone call to access the product subscription (bank term deposit) and reach the final answer from the customer.

This dataset is copied from another source and its source is mentioned at the end

Bank client data:
Age (numeric)
Job : type of job (categorical: 'admin.', 'blue-collar', 'entrepreneur', 'housemaid', 'management', 'retired', 'self-employed', 'services', 'student', 'technician', 'unemployed', 'unknown')
Marital : marital status (categorical: 'divorced', 'married', 'single', 'unknown' ; note: 'divorced' means divorced or widowed)
Education (categorical: 'basic.4y', 'basic.6y', 'basic.9y', 'high.school', 'illiterate', 'professional.course', 'university.degree', 'unknown')
Default: has credit in default? (categorical: 'no', 'yes', 'unknown')
Housing: has housing loan? (categorical: 'no', 'yes', 'unknown')
Loan: has personal loan? (categorical: 'no', 'yes', 'unknown')

Fixed problems of this data:
1_ Columns were separated with a sign (;), which after the change was changed to this sign (,) for the ease of uploading this data.
2- The columns that did not have clear and specific information were removed (if you want to use the original data, refer to the address below.

The main source of data:
https://www.kaggle.com/datasets/henriqueyamahata/bank-marketing