BANK-MARKETING-CAMPAIGN

This is a sample code repository that leveraged "Bank Marketing Dataset" from Kaggle to explore the dataset, perform EDA and predict the deposit likelihood.

An analysis of the dataset of the bank's marketing campaign to help the bank optimize its operations and strategies to attract more customers to subscribe to term deposits.

The data is related to direct marketing campaigns (phone calls) of a BankX including 45211 observations, each with 17 attributes. The target y attribute shows the result if clients will subscribe the term deposit or not. The target feature is coded as “yes” to indicate client will subscribe a term deposit while “no” means client will not subscribe the term deposit.

The BankX Marketing Dataset includes information about:

Bank client data:

1 - age (numeric)
2 - job : type of job (categorical)
3 - marital : marital status (categorical: "married","divorced","single"; note: "divorced" means divorced / widowed)
4 - education (categorical: "unknown","secondary","primary","tertiary")
5 - default: has credit in default? (binary: "yes","no")
6 - balance: average yearly balance, in euros (numeric)
7 - housing: has housing loan? (binary: "yes","no")
8 - loan: has personal loan? (binary: "yes","no")

Related with the last contact of the current campaign:

9 - contact: contact communication type (categorical: "unknown","telephone","cellular")
10 - day: last contact day of the month (numeric)
11 - month: last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec")
12 - duration: last contact duration, in seconds (numeric)

Other attributes:

13 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact)
14 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted)
15 - previous: number of contacts performed before this campaign and for this client (numeric)
16 - poutcome: outcome of the previous marketing campaign (categorical: "unknown","other","failure","success")

Output variable (target value):

17 - y - has the client subscribed a term deposit? (binary: "yes","no")