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Predictive Modeling for Agriculture

Intermediate
4.7+
197 reviews
Updated 04/2024
Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.
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PythonMachine LearningProgramming1 hour1 Task1,500 XP20,706

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Project Description

Predictive Modeling for Agriculture

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:
  • Nitrogen content ratio in the soil
  • Phosphorous content ratio in the soil
  • Potassium content ratio in the soil
  • pH value 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?

Predictive Modeling for Agriculture

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.
Start Project for Free
  • 1

    In 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.

Don’t just take our word for it

*4.7
from 197 reviews
79%
20%
1%
0%
0%
  • Lalit
    about 4 hours

  • Zachary
    about 4 hours

  • Andreas
    about 10 hours

  • Michael
    about 12 hours

  • Michael
    about 12 hours

  • Aniekan
    about 9 hours

Lalit

Zachary

Andreas

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