LR Örnek 2
#Kütüphaneleri yükle
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import preprocessing
from sklearn.linear_model import LogisticRegression
#Verileri Yükle
df = pd.read_csv('veri/ornek_1.csv')
giris=df.iloc[:,0:2]
cikis=df.iloc[:,2]
aranan = {'Boy':[160],'Kilo':[60]}
aranan_data=pd.DataFrame(aranan)
#Standardizasyon
scaler = preprocessing.StandardScaler()
stdGiris = scaler.fit_transform(giris)
stdTest = scaler.transform(aranan_data)
#Logistic Regression
log_reg = LogisticRegression(random_state=0)
log_reg.fit(stdGiris,cikis)
tahmin_y=log_reg.predict(stdTest)