duction: As an online grocery delivery company, "Everyday Deals," you are part of the data science team to scale up the business with the power of data. As part of the organization's attempts to increase its sales, revenue, and profit and ultimately cover more markets in the country, your team is tasked to generate better product recommendations to existing customers so that there is higher customer engagement and reduced churn rate. Assignment Part 1 Tasks: {To be submitted in Python only} For this, you need to perform two tasks based on the above background; you need to understand the buying pattern and trends of the existing customers based on the data provided to you. Second, you need to understand which customers are likely to churn out and why? Remember, both the tasks, identifying patterns and trends and building a customer churn model, could be based on assumptions purely out of your understanding of the problem statement. For example, someone would consider customers not buying more frequently from the store to be someone who can churn, or maybe someone would consider customers not buying enough items to churn out. In this assignment, in the notebook file that you submit, you will give a detailed context of what assumptions you have kept for building a particular model the way it is and why. Also, the algorithm is something you can choose, and the evaluation metrics for the model should also be present so that we know how well the model is performing