import pandas as pd
import tensorflow as tf
from sklearn.model_selection import train_test_split

dataset = pd.read_csv('/content/survey lung cancer.csv')
x = dataset.drop(columns=["LUNG_CANCER"])
y = dataset["LUNG_CANCER"]
y= y.replace("YES", 1)
y= y.replace("NO", 0)
x= x.replace("M", 1)
x= x.replace("F", 0)

x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2)
model = tf.keras.models.Sequential()

model.add(tf.keras.layers.Dense(256, input_shape=x_train.shape, 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(x_train, y_train, epochs=1000)

problem im getting:
Epoch 1/1000

ValueError Traceback (most recent call last)
in <cell line: 1>()
—-> 1 model.fit(x_train, y_train, epochs=1000)

1 frames
/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py in tf__train_function(iterator)
13 try:
14 do_return = True
—> 15 retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope)
16 except:
17 do_return = False

ValueError: in user code:

File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1401, in train_function  *
    return step_function(self, iterator)
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1384, in step_function  **
    outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1373, in run_step  **
    outputs = model.train_step(data)
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1150, in train_step
    y_pred = self(x, training=True)
File "/usr/local/lib/python3.10/dist-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
    raise e.with_traceback(filtered_tb) from None
File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/input_spec.py", line 298, in assert_input_compatibility
    raise ValueError(

ValueError: Input 0 of layer "sequential" is incompatible with the layer: expected shape=(None, 247, 15), found shape=(None, 15)

im new so i dont really dont know what to do