Hello @Siya_Ghode
Corrections required in your notebook
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incorrect URL of the white wine dataset, replace it with ‘./winequality-white.csv’
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incorrect URL of the red wine dataset, replace it with ‘./winequality-red.csv’
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While defining your model, you do not require to use tf.keras.layer to the Dense Layer, just use Dense.
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In compile the model, use ‘mse’ for loss instead of mean squared error for wine quality.
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While in the training model you are using an epoch of 180, in case you do not get the desired accuracy, try to make changes for the better accuracy. Remember increasing number of epochs mean more training time, so basically our aim is to have better accuracy with reduce training time, and not more training time.
Let me know once you clear your assignment.
Regards
DP