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.