Inspiration
Green energy rocks the world in this time. We're pleased to help it do it :)
What it does
It's fully provisioned ML service
How we built it
Using our team Data Science, Backend and Data Engineering competencies. Tech stack is python, sklearn, flask, docker and streamlint.
Challenges we ran into
Dirty data, multiple ml models
Accomplishments that we're proud of
Managed to finish great amount of work almost in time
What we learned
Practical part of ml, team interaction, extreme programming
What's next for Energy tech ml service
Maybe will think about its further development
Built With
- flask
- python
- scikit-learn
- streamlit
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