Pular para o conteúdo principal
InícioPythonPredictive Modeling for Agriculture
projeto

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.

Iniciar Projeto Gratuitamente
1 Task1,500 XP12,410

Crie sua conta gratuita

GoogleLinkedInFacebook

ou

Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados são armazenados nos EUA.
GroupTreinar 2 ou mais pessoas?Experimente o DataCamp For Business

Amado por alunos de milhares de empresas


Project 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:

  • 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?

Project Tasks

  1. 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.

Technologies

Python Python

Topics

Machine LearningProgramming
Mohammed Abufouda HeadshotMohammed Abufouda

Ver Mais

What do other learners have to say?