Bank marketing analysis using machine learning

Computer Science and Engineering

In this project, we will build a model on how bank management team would like To build and train a simple, deep neural network model to predict the likelihood off customers buying personal loans based on their features, such as their age, experience, income, family education and credit card information as well. And you can simply apply this project to predict customer's credit worthiness and also increase the effectiveness off the bank Marketing strategy. In the second module We are building a model by Analyzing banks customer data and modeling an classifier to predict retention a customer using Artificial Neural Network, third model would be term deposit and in fourth we are building a model to analyze costumer satisfaction. This project requires basic python programming and basic knowledge of machine learning as well. we divided the project into a series off manageable cells. The bank management team would like to build, train and deploy a simple, deep neuron network model that will be able to predict the likelihood off liability customers. And when we say liability customers, these are depositor customers. These are people or customers who deposit money in the bank. And simply the bank would like to identify those customers and kind of, like make them by personal loans. So the idea here is to try to essentially make money. We want them to issue them loans so the bank would be able to charge them interest and The point is, we wanted to target those customers. So to do that, we want to know their age, their experience, their income level, their location, family education level, existing mortgage if they have an existing mortgage with the bank or not. And we also want to know if they have a credit card with our bank account or not, because all these factors play a big role in the acceptance off customers. To these marketing strategies, which is again asking them to buy our personal loans. So ,there is a company or a startup named Lindo included a link here the website and it's actually leading startup that uses advanced machine learning strategies to analyze over 12,000 features from various customers. And the idea here is that we wanted to predict the customer's credit worthiness so it actually go beyond the banking information so you can look at social media account use geo location, data, tons of information that can kind of tell you if this customer has a high credit worthiness or not.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.