AI Patasala Machine Learning Course Projects by Students

Problem Statement

• With the advancements in technology, credit card fraudulent activities have become more prevalent
• Credit card fraud leads to the loss of billions of dollars for consumers and financial companies
• In 2020, US alone lost whopping $9.47 billion through illegal credit card transactions

Solution

The aim of this project is to build a model that is capable of detecting credit card fraudulent transactions.

• We will be developing a fraud detection model using Machine Learning
• This model can be built using different ML algorithms
• We will also plot the respective performance curves for the models
• We will learn how data can be analyzed and visualized to discern fraudulent transactions from other types of data

Problem Statement

• Targeting potential users based on their peculiar interests can help enterprises in achieving the desired results
• But how to analyze and segment users based on their interest? This is a critical challenge for enterprises

Solution

We can group customers into sections of individuals who share common characteristics. This approach is called Customer Segmentation

• Customer Segmentation is one the most important applications of unsupervised learning
• This technique can help enterprises in identifying several segments of customers
• Companies can easily identify and target their potential user base
• Customer segmentation helps in delivering personalize experiences to customers