Bom dia pessoal, essa foi a divisão das duplas e classificadores:

- Clésio e Daniel

Multi-layer Perceptron (MLP) 

from sklearn.neural_network import MLPClassifier

 

- Vitória e Patrick

Support Vector Machines (SVM)

from sklearn import svm

 

- Lucas e Leonardo

Gradient Tree Boosting 

from sklearn.ensemble import GradientBoostingClassifier

 

- Açucena e Jederson

Naive Bayes (NB) 

from sklearn.naive_bayes import GaussianNB

 

- Camila e Orrana

Random Forests 

from sklearn.ensemble import RandomForestClassifier

 

- Lucas Silva e Jeanderson: https://www.kaggle.com/uciml/mushroom-classification

Decision Trees (DT) 

from sklearn.tree import DecisionTreeClassifier

 

- Kelly e Danillo

Stochastic Gradient Descent (SGD) 

from sklearn.linear_model import SGDClassifier

 

- Laécio e Carol: https://www.kaggle.com/andrewmvd/fetal-health-classification

Gaussian Processes Classification (GPC) 

from sklearn.gaussian_process import GaussianProcessClassifier

 

- Edson: https://archive.ics.uci.edu/ml/datasets/Heart+Disease

AdaBoost Classifier (ABC) 

from sklearn.ensemble import AdaBoostClassifier

 

- Ana carolina

K Nearest Neighbors (KNN) 

from sklearn.neighbors import KNeighborsClassifier

 

Não esqueçam de me mandarem o link das bases que vocês vão utilizar.