PyCaret ile Kolay Machine Learning

data_1=setup(data=data,target="Type")
data_1=setup(data=data,target="Type",train_size = 0.8)
best_model=compare_models()
plot_model(best_model,"confusion_matrix")
data_2=setup(data=data,target="Type",train_size = 0.8,normalize=True)
data_2=setup(data=data,target="Type"
,train_size = 0.8,fix_imbalance=True)
import imblearn data_2=setup(data=data,target="Type"
,train_size = 0.8,fix_imbalance=True
,fix_imbalance_method=imblearn.over_sampling.BorderlineSMOTE())

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Computer Engineer,Sociologist, CSE Master Student

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