AbdulazeezAbdullah/Nigeria-Bank-Campaign-Subscription

# Nigeria-Bank-Campaign-Subscription Kowepe bank of Nigeria conducted marketing campaigns via phone calls with their clients. The purpose of these campaigns is to prompt their clients to subscribe to a specific financial product of the bank (term deposit). This survey had been conducted with some selected individuals that the bank feel is the best representative of their clients so as to minimize the cost of the total client survey. You have been contacted as a data scientist to find patterns and build predictive models on this dataset with the aim of forecasting the percentage of potential customers for the financial products of the bank Data Description Context 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). The final output of this survey will be a binary result indicating if the client subscribed ('yes') to the product or not ('no'). The data has been split into two groups: - training set (train.csv) - test set (test.csv) The training set should be used to build your machine learning models. For the training set, we provide the outcome (also known as the “ground truth”) for each customer The dataset several rows (instances of calls to clients) and 21 columns (variables) which are describing certain aspects of the call. Please note that there are cases where the same client was contacted multiple times - something that practically doesn't affect the analysis as each call will be considered independent from another even if the client is the same. Content The predictor variables (features) contained in the dataset can be divided into the …