How to load CSV files in a TensorFlow program?

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import tensorflow as tf
import pandas as pd

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

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features = df.iloc[:, :-1] # Extract all columns except the last one
labels = df.iloc[:, -1] # Extract only the last column

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features_tensor = tf.convert_to_tensor(features.values)
labels_tensor = tf.convert_to_tensor(labels.values)

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dataset = tf.data.Dataset.from_tensor_slices((features_tensor, labels_tensor))

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# Normalize the features using min-max scaling
normalized_features = (features - features.min()) / (features.max() - features.min())

# Convert normalized data to TensorFlow tensors
normalized_features_tensor = tf.convert_to_tensor(normalized_features.values)

# Create TensorFlow Dataset with normalized data
normalized_dataset = tf.data.Dataset.from_tensor_slices((normalized_features_tensor, labels_tensor))