Task 
Assigned to 
1. To get IRIS data set
http://archive.ics.uci.edu/ml/datasets/Iris 
Everybody 
2. To describe the data set
 Origin, attributes, classes
 "Scatter plot"
 2D visualization (PCA or MDS)

 David Camilo Becerra Romero
 José Luis Morales

3. Decision trees:
 train a decision tree
 describe the obtained model
 evaluate its performance

 Rolando Beltran Arrieta
 Daniel Restrepo Montoya

4. Neural network:
 design an appropriate network to solve the problem
 train it
 evaluate its performance

 Alexander Ceron Correa
 Luis Alejandro Riveros Cruz

5. Naïve Bayes:
 train a NaiveBayes classifier
 describe the obtained model
 evaluate its performance

 Jimmy Alexander Cifuentes Rodriguez
 Maria Eugenia Rojas Izaquita

6. Linear Regression:
 propose a linear model to solve the problem (1 class against the others, multiclass)
 evaluate its performance

 Emir Fredy Cortes Trujillo
 Edwin Andres Niño Velasquez

7. knearest neighbors
 train a knn classifier
 describe the obtained model
 evaluate its performance

 Miguel Dario Dussan Sarria
 Omar Guillermo Erazo

8. Support Vector Machine:
 train a SVM classifier
 describe the obtained model
 evaluate its performance

 Camilo Ernesto López Guarín
 Sandra Patricia Tocarruncho Tocarruncho

10. Kmeans:
 cluster the data using Kmeans
 describe the obtained clustering
 Visualize the results

 Carlos Alfonso Garzon Mape
 Wilson Eduardo Soto Forero

11. Hierarchical Clustering: cluster the data using hierarchical clustering
 describe the obtained clustering
 Visualize the results
  Jeison Dario Gutierrez Juya
 Javier Fernando Vargas Gonzalez
