Inspiration
Corp plays an improtant role in the commodity market. if one were able to predict the prduction/yield, one could predict the market trend to make profits.
What it does
it takes in EVI index as input and output a predicted yield
How we built it
firstly, look at the data structure and decide the time range. Then, construct a LSTM model for prediction train the LSTM model and make predictions search over parameters and find the best parameters
Challenges we ran into
the data was not enough to train a model properly and difficult to utilize grib file
Accomplishments that we're proud of
able to successfully to build up the model and make sensible interpretation for it.
What we learned
- learn knowledge of LSTM
- familiarize with data preprocessing and data selection
- explore the corp growth cycle
What's next for ICDS
Built With
- keras
- numpy
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