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)