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.","employmentType":["FULL_TIME","PART_TIME","CONTRACTOR","TEMPORARY","PER_DIEM"],"jobLocationType":"TELECOMMUTE","hiringOrganization":{"@type":"Organization","name":"Toogit","sameAs":"https://www.toogit.com/","logo":"https://www.toogit.com/images/toogit_logo_initial.png"},"identifier":{"@type":"PropertyValue","name":"Toogit","value":279540},"skills":["Data Science & Analytics","Data Mining & Management"],"applicantLocationRequirements":[{"@type":"Country","name":"IN"},{"@type":"Country","name":"Canada"},{"@type":"Country","name":"USA"},{"@type":"Country","name":"Germany"},{"@type":"Country","name":"Pakistan"},{"@type":"Country","name":"Philippines"},{"@type":"Country","name":"Indonesia"},{"@type":"Country","name":"Sri Lanka"},{"@type":"Country","name":"Nigeria"},{"@type":"Country","name":"China"},{"@type":"Country","name":"Russia"},{"@type":"Country","name":"Bangladesh"}],"validThrough":"2024-09-17T04:11:41+05:30","url":"https://www.toogit.com/freelance-jobs/Mjc5NTQw"}
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