Inspiration
- We wanted to improve a renewable energy souces - Wind energy
## What it does
- It analyses climate- and wind turbin- data to figure out, when is the best time to use wind turbins
## How we built it
- Using a bunch of datasets we used an XGBRegressor to train a powerful model
## Challenges we ran into
- Work with a new engine, finding our datasets, analysing, what could make impact to our results
## Accomplishments that we're proud of
- We survived and made an efficient and, the most important, really working algorithm
## What we learned
- Team work, how to work with huge datasets, when it's a best time to drink some Spezi
## What's next for StoPredict
- If everything will go smooth, we will find more datasets, train exacter models and find solutions for new problems
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