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koushik16/Price_prediction_using_NN
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Data Prep: 1. Import data from csv 2. print pairplot with sns library to see the features in the columns 3. Convert the data to tensors using tf.constant (Better to shuffle the data using tf.random.shuffle) 4. Define a normalizer 5. Define the ratios for test, train and validation. 6.
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This is a Project demonstrating a different approach for creating a regression models for predicting the price of a car
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