projeto
Predictive Modeling for Agriculture
Intermediário
Updated 04/2024Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.
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1 Task1,500 XP14,172
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Tentar DataCamp for BusinessProject Description
A farmer reached out to you as a machine learning expert seeking help to select the best crop for his field. Due to budget constraints, the farmer explained that he could only afford to measure one out of the four essential soil measures:
Nitrogencontent ratio in the soilPhosphorouscontent ratio in the soilPotassiumcontent ratio in the soilpHvalue of the soil
The expert realized that this is a classic feature selection problem, where the objective is to pick the most important feature that could help predict the crop accurately. Can you help him?
Project Tasks
- 1In this project, you will be introduced to two techniques for feature selection and apply them to the farmer's problem. By working on this project, you will gain valuable insights into how machine learning can solve real-world agricultural problems.
Technologies
Python
Pré-requisitos
Supervised Learning with scikit-learn
