Customer Churn Prediction in Banking Using ML

Major Project (PG)

• A method to predicts the customer churn in a bank, using the data collected from their activities with the bank.

• Used machine learning techniques; KNN, SVM, BD Tree. 

• Evaluated classifier performance under different feature selection methods.

• Programming language: MATLAB and Python

Prediction of Online Shopper’s Purchasing Intention using Logistic Regression

Minor Project (PG)

• A method to predicts the purchasing intention of visitor’s of an online website, using the data collected during the visit. 

• Used logistic regression, a technique adopted by machine learning from the field of statistics

• Study supports to find the intention of website visitors by observing their actions.

• Programming language: Python

KSEB Complainting System

Major Project (UG)

• The primary aim is to create a user friendly, interactive platform that provide an efficient and effective system for managing electricity complaints by introducing a Mobile Application. 

• Provide a single window operation for two way communication between consumers and KSEB regarding complaints on power supply in the locality.

• Programming languages: Java (Android Studio), HTML, CSS, JavaScript, PHP