I have some agricultural data set. A data scientist should:
1. Find dependencies between indicators and output value and find most meaningful features.
2. Create a prediction model.
3. Maximize output variable based on meaningful prediction model.
Some more details:
The data set includes several indicators of changeable parameters that affect vegetables growing process and also includes gross output as a target variable. Some indicators may affect directly, some may need aggregation over time.
Finally we should be able to:
1. Predict future output based on applied parameters.
2. Maximize output based on optimal parameter set.
This is a first POC of this project. If the data set shows something meaningful, we will be looking forward to implement this solution in production.
About the recuiterMember since May 20, 2018 L Ben
from Hauts-de-Seine, France