The Python Bible Volume 4: Machine Learning (Neural Networks, Tensorflow, Sklearn, SVM) by Florian Dedov

Author:Florian Dedov [Dedov, Florian]
Language: eng
Format: azw3, epub
Publisher: UNKNOWN
Published: 2019-07-30T16:00:00+00:00

from sklearn.neighbors import KNeighborsClassifier

from sklearn.naive_bayes import GaussianNB

from sklearn.linear_model import LogisticRegression

from sklearn.tree import DecisionTreeClassifier

from sklearn.ensemble import RandomForestClassifier

Of course, we need to import all the modules first. We can then create five different classifiers to train and test them with the exact same data.

clf1 = KNeighborsClassifier( n_neighbors = 5 )

clf2 = GaussianNB()

clf3 = LogisticRegression()

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