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I have installed sklearn module in anaconda however the train_test_split is showing error. "name 'x_train' is not defined"

from tensorflow import keras
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Dense, Flatten, Dropout
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.callbacks import TensorBoard
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
however in the code it is throwing error
train_df = pd.read_csv(r'fashion-mnist_train.csv')
test_df = pd.read_csv(r'fashion-mnist_test.csv')
train_data = np.array(train_df, dtype='float32')
test_data = np.array(test_df, dtype='float32')
x_train = train_data[:, 1:] / 255
y_train = train_data[:, 0]
x_test = test_data[:, 1:] / 255
y_test = test_data[:, 0]
x_train, x_validate, y_train, y_validate = train_test_split(
    x_train, y_train, test_size=0.2, random_state=12345,
when i run the cell with train test split the following error occurs:
NameError                                 Traceback (most recent call last)
3 x_train, x_validate, y_train, y_validate = train_test_split(
----> 4     x_train, y_train, test_size=0.2, random_state=12345,
NameError: name 'x_train' is not defined
please help! This is my first project in ML
                In the NameError message, the parameters passed to train_test_split don't match exactly the code: There is a value 5 passed after the parameter random_state.
– Eric Marchand
                Nov 20, 2021 at 11:15
There is the problem in dataset csv file naming convention in below code:
train_df = pd.read_csv(r'fashion-mnist_train.csv')
test_df = pd.read_csv(r'fashion-mnist_test.csv')
You need change to it to underscore( _ ) from hyphen ( - ) as below:
train_df = pd.read_csv(r'fashion_mnist_train.csv')
test_df = pd.read_csv(r'fashion_mnist_test.csv')
Also, make the same changes on these file names in your local directory from you are importing these files.
Please let us know if still issue persists.
        
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