feature selection for classifiers

dataset ---> mobile price dataset kaggle

****************univariate method of feature selection*******************

import pandas as pd

import numpy as np

from sklearn.feature_selection import chi2

from sklearn.feature_selection import SelectKBest 

df=pd.read_csv('train.csv')

df.head()

x_train = df.iloc[:,0:20]

y_train = df.iloc[:,-1]

best_features = SelectKBest(score_func=chi2,k=10)

fit= best_features.fit(x_train,y_train)

df_score = pd.DataFrame(fit.scores_)

dfcol=pd.DataFrame(x_train.columns)