Inspiration
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What it does
Predicts the necessary purchases for 2023.
How we built it
In Python using Jupyter Notebooks.
Challenges we ran into
Data very difficult to predict with common methods like Random Forests, Linear Regressions, ...
Accomplishments that we're proud of
A good results in the Time Series predictor (ARIMA).
What we learned
A lot about ML, Time Series and Random Forests.
What's next for NTT Data GIA
We will participate in much more hackathons!
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