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🚀 Clustering Countries using unsupervised learning

Clustering Countries using unsupervised learning

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About  |   Execution  |   Contributing  |   Collaborators


📋 About

Project developed for assessment 1 part 2 of the subject Advanced Topics in Computational Intelligence, lectured by Professor Brian Varjão, in the Computer Engineering course at SENAI CIMATEC.

In this Project we use a dataset with information about the countries in the world, acquired from the Kaggle challenge.

We carry out EDA, pre-processing, clustering using the techniques shown in the course (e.g. K-means, DBScan), analyze the partitions found and select 5 countries that need more international aid.

⚡ Execution

You can use the google colaboratory directly on the files.

🤔 Contributing

You need to take the following steps:

  • Fork this repository;
  • Create a branch with your feature: git checkout -b my-feature;
  • Commit your changes: git commit -m 'Commit message';
  • Push to your branch: git push origin my-feature.

Once your pull request has been merged, you can delete your branch.

🤝 Collaborators

       

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