Discussing a real-life business problem

We will be implementing the following business problem to get hands-on experience. I recommend you read this section multiple times to get a good understanding of the business problem; it makes it easier to implement it.

Important note

Problem context:

You work as a data scientist in a small team with three other data scientists for a cargo shipping company based in the port of Turku in Finland. 90% of the goods imported into Finland come via cargo ships at the ports across the country. For cargo shipping, weather conditions and logistics can be challenging at times at the ports. Rainy conditions can distort operations and logistics at the ports, which can affect the supply chain operations. Forecasting rainy conditions in advance gives the possibility to optimize resources such as human resources, logistics, and transport resources for efficient supply chain operations at ports. Business-wise, forecasting rainy conditions in advance...