upd51

script5_1.py

@@ -59,6 +59,9 @@ y_train = y_train.values
 y_train = y_train.astype(float)
 y_train = y_train[np.isfinite(y_train)]
 
+non_numeric_values = [value for value in y_train if not np.issubdtype(type(value), np.number)]
+print("Non-numeric values in y_train:", non_numeric_values)
+
 # Create the neural network model
 model = Sequential()
 model.add(Dense(32, activation='relu', input_dim=X.shape[1]))