Business problem analysis and categorizing the problem

In the previous chapter, we looked into the following business problem statement. In this section, we will demystify the problem statement by categorizing it using the principles to curate an implementation roadmap. We will glance at the dataset given to us to address the business problem and decide what type of ML model will address the business problem efficiently. Lastly, we'll categorize the MLOps approach for implementing robust and scalable ML operations and decide on tools for implementation.

Here is the problem statement:

You work as a data scientist with a small team of data scientists for a cargo shipping company based in Finland. 90% of goods are imported into Finland via cargo shipping. You are tasked with saving 20% of the costs for cargo operations at the port of Turku, Finland. This can be achieved by developing an ML solution that predicts weather conditions at the port 4 hours in advance. You need to...