Summary belangrijkste code Databanken 3 python

Contents
Gaussian Naïve Bayes.............................................................................................................................1
Random Forest.......................................................................................................................................2
logistic Regression..................................................................................................................................3
Ensemble................................................................................................................................................4
Linear regression....................................................................................................................................5
Plotting...................................................................................................................................................7
NLP.........................................................................................................................................................9
ANN.....................................................................................................................................................12
CNN......................................................................................................................................................16
Python Introduction/ Pandas................................................................................................................21




Gaussian Naïve Bayes
!! alle waarden moeten reële getallen zijn

Bv. Male female omzetten naar 0 en 1

 Maak train en test sets aan
o Survived moet je vervangen door de kolom die je wil bekijken




 Bereken de accuracy




 Bepaal rappel en precisie (false negative rate)



1

,Random Forest
 N_estimators = aantal bomen




 Belangrijkheid per klasse weergeven




2

, # we now combine those two collections into a dataframe

pd.DataFrame(model.feature_importances_,columns=['Importance'],index=X_train.columns).sort_va
lues(by='Importance',ascending=False)



logistic Regression




3