christian-freshness/Predictive-modelling-on-Nigeria-Bank-Campaign-Subscriptions

# Predictive-modelling-on-Nigeria-Bank-Campaign-Subscriptions The dataset contains information about marketing campaigns that were conducted via phone calls from a Nigerian banking institution to their clients. The purpose of these campaigns is to prompt their clients to subscribe to a specific financial product of the bank (term deposit). After each call was conducted, the client had to inform the institution about their intention of either subscribing to the product (indicating a successful campaign) or not (unsuccessful campaign). ### I found patterns and built predictive model on this dataset with the aim of forecasting the percentage of potential customers for the financial products of the bank. ## Content: The predictor variables (features) contained in the dataset can be divided into the following five sections: #### 1. Variables that describing attributes related directly to the client: age job : type of job (e.g. 'admin', 'technician', 'unemployed', etc) marital: marital status ('married', 'single', 'divorced', 'unknown') education: level of education ('basic.4y', 'high.school', 'basic.6y', 'basic.9y','professional.course', 'unknown','university.degree','illiterate') default: if the client has credit in default ('no', 'unknown', 'yes') housing: if the client has housing a loan ('no', 'unknown', 'yes') loan: if the client has a personal loan ? ('no', 'unknown', 'yes') #### 2. Variables related to the last contact of the current campaign: contact: type of communication ('telephone', 'cellular') month: month of last contact dayofweek: day of last contact duration: call duration (in seconds) #### 3. Other variables related to the campaign(s): campaign: number of contacts performed during this campaign and for this client pdays: number of days passed by after the client was last contacted from a previous campaign previous: number of contacts performed before this campaign and for this client poutcome: outcome of previous marketing campaign (' …