From 660efdc52bff98a3bd8eefb15c4c9ba26e1401a4 Mon Sep 17 00:00:00 2001
From: SowjanyaDevireddy <80925027+SowjanyaDevireddy@users.noreply.github.com>
Date: Wed, 24 Mar 2021 17:46:44 -0500
Subject: [PATCH] Update README.md

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-# Term_DepositSubscription_Project
\ No newline at end of file
+# Term_DepositSubscription_Project
+
+## Project Description
+***
+
+Banking is a personalized service-oriented industry that provides services according to the customers’ needs.In our project we are focusing on specific banking service – term deposits.
+Portuguese bank conducted a marketing campaign using telemarkrting.Contact of the client was required, to access if the bank termdeposit would be subscribed  or not subscribed. To make the 
+upcoming marketing campaign more effectve the Portuguese bank wants to identify which type of customers is more likely to make term deposits and focus marketing efforts on those customers.
+This will not only allow the bank to secure deposits more effectively but also increase customer satisfaction by reducing undesirable advertisements for certain customers. 
+The objective of our application is to identify the potential customers that subscribe for term deposits. Our application analyses customer features, such as demographics and 
+transaction history, the bank will be able to predict customer saving behaviors and identify which type of customers is more likely to make term deposits.
+  
+
+## Useful features from the data & the descriptions of the features
+***
+
+ age : customer age
+ job : type of job
+ marital : marital status
+ education : education level
+ default : has credit in default?
+ balance : balance level
+ housing : has housing loan?
+ loan : has personal loan?
+ contact : contact communication type
+ day : last contact day of the week
+ month : last contact month of year
+ duration : last contact duration, in seconds
+ campaign : number of contacts performed during this campaign and for this client
+ pdays : number of days that 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 the previous marketing campaign
+
+
+## Target
+***
+
+ y : has the client subscribed a term deposit?
+
+
+## Data Source
+***
+
+https://www.kaggle.com/yufengsui/portuguese-bank-marketing-data-set?select=bank-full.csv
+
+
+## Usecase Description
+***
+# Usecase name : Term deposit subscription prediction
+
+#Actors : Bank Data Analyst(s)
+
+#Precondition : Data Analyst has access to run the application. 
+                CVS Data file uploaded has similar data format as our datafile
+
+#Description : This usecase allows analyst to predict the potential customers for subscription of term deposit.
+Usecase begins with user uploading the csv data file as input for the application. 
+The appliaction builds clasification model that predicts the list of potential customers. 
+List of potential customers for subscription of term deposit is generated for future canpaign usage. 
+
+
+#Postcondition : Analyst gets list of potential customers for subscription of term deposit