This is a learning competition. Aside from knowledge, there is no monetary prize at stake.

Since the dawn of time, human beings have been trying to keep tabs on mother nature. For basic survival and protection, to mega industries like construction and transportation, weather forecasting is crucial to our survival!

The thing is— it’s not exactly an easy task. In fact, the prediction of the weather has been subject to human error time and time again simply because of the sheer volume of data that must be processed.

One place where forecast precision is imperative is in the agricultural sector. Farmers make daily decisions based on the weather, and these decisions can have massive impact on the health and vitality of their yield, and the world.

Here is where you come in…

Problem Statement:
A major agricultural company needs you to help them maximize growth efficiency, save resources and optimize their production. To achieve these things, the company needs to have an accurate weather prediction algorithm which will improve their decision making on typical farming activities such as planting and irrigating.
Using historical weather information from their region, can you predict what the weather will be in the next few days? Please note that areas A through E and the target area where you need to predict the weather, are all neighboring regions. The location of each region is not available.

This is a beginner-level practice competition and your goal is to predict the next day’s weather (N: No rain L: Light rain H: Heavy rain) using the prior day’s weather data.