It is important for banks to optimize the marketing strategies and improve effectiveness. Understanding customer needs leads to effective marketing plans and greater customer satisfaction. In this project we will enable the bank to develop a more understanding of it's customer base data and predicts the customer's response and also creates a customer profile for future marketing based on the data provided.
From the given data, analyzing the customer base such as age, loan, Poutcomes, housing, job etc., the bank will be able to predict the customer behaviors and will be able to predict which customer is more likely to make term deposit so that the bank can focus more on those customers.
for Model Building : Jupyter Notebook 6.0.3 (anaconda - 3) for Application Building: Spyder 4.0.1 (anaconda-3) HTML CSS
A simple predictive analytics model can be carried out on real data using open source statistical modeling software. The results can be applied to produce real tangible improvements in a company's business performance.
- @saikarthiksk - Sai Karthik
- @praveeshagongura - Praveesha Gongura
- @shreeram - Shree Ram
- @tharunsathu - Tharun Sathu