While shopping on popular ecommerce websites like Amazon, you must have stumbled upon features like ‘frequently Bought together’ suggesting that you may like a similar product to the one you are viewing. This feature is achieved by using an unsupervised machine learning approach called Market Basket Analysis. Under the hood, it uses apriori algorithm. I have done a project exploring this approach. The project’s objectives are: Create a detailed Exploratory analysis of the dataset created by Instacart.

In this project I have created a classifier model using the drag and drop feature provided by Oracle Data Miner. Even though the software allows the use of SQL queries, a large amount of the tasks were carried out using just the drag and drop features. The project aims to predict customers that are likely to churn from a telecommunication company, so that management can act before this happens. This project’s documentation can be found on my linkedin