Some time ago, due to the global financial crisis, getting credit in international markets became more restricted for banks. This turned attention to internal customers and their deposits to gather funds. This led to a demand for information about a client's behavior for their deposits and their response to telemarketing campaigns conducted by the banks periodically. Often, more than one contact to the same client is required in order to assess whether the product (bank term deposit) will be (yes) or will be (no) subscribed.

The aim of this project is to implement an ML model that predicts that the client will subscribe to a term deposit (variable y). In short, this is a binary classification problem. Now, before we start implementing our application, we need to know about the dataset. Then we will see an explanatory analysis of the dataset.