This repository contains activities proposed in the Introduction to Machine Learning course during the 2024-1 quarter of the Graduate Program in Electronic Systems Engineering (PPGESE) at UFSC.

• decision_trees: This folder contains files related to decision tree algorithms.

  • dataset.csv: Dataset used for decision tree applications.
  • decision_tree_application.py: Python script for applying decision tree algorithms.

• knn: This folder contains files related to k-nearest neighbors (KNN) algorithms.

  • create_dataset.py: Python script for creating datasets.
  • knn_application.py: Python script for applying KNN algorithms.
  • verification_dataset.csv: Dataset used for verification purposes.
  • weather_dataset.csv: Dataset containing weather data.

• mlp: This folder contains files related to multilayer perceptron (MLP) algorithms.

  • dataset.csv: Wine dataset used for MLP applications.
  • mlp_application.py: Python script for applying MLP algorithms.
  • wine_dataset.py: Python script for managing wine dataset.

This project is licensed under the terms of the LICENSE file.