i am trying to build a robot can anyone assist?

import pandas as pd

dataset = pd.read_csv('cancer.csv')

x = dataset.drop(columns=["diagnosis(1=m, 0=b)"])

y = dataset["diagnosis(1=m, 0=b)"]

from sklearn.model_selection import train_test_split

x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2)

import tensorflow as tf

model = tf.keras.models.Sequential()

model.add(tf.keras.layers.Dense(256, input_shape=x_train.shape[1:], activation='sigmoid'))
model.add(tf.keras.layers.Dense(256, activation='sigmoid'))
model.add(tf.keras.layers.Dense(1, activation='sigmoid'))

model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])

model.fit(tf.expand_dims(X, axis=-1), y, epochs=5)

i tried adding

model.add(tf.keras.layers.Dense(256, input_shape=x_train.shape[1:], activation='sigmoid'))

instead of

model.add(tf.keras.layers.Dense(256, input_shape=x_train.shape, activation='sigmoid'))

it worked for a prevous error but then i got the NameError name 'x' is not defined

source https://stackoverflow.com/questions/75050887/i-am-trying-to-build-a-robot-can-anyone-assist

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