The code builds a machine learning model to predict the price of second-hand cars. It preprocesses the data, defines a neural network model, and trains it using the training dataset. The model's performance is evaluated, and predictions are made on new car data.
("train.csv")
containing car features and labels, and then exploring the data using visualizations.The code builds a machine learning model to predict the price of second-hand cars. It preprocesses the data, defines a neural network model, and trains it using the training dataset. The model's performance is evaluated, and predictions are made on new car data.
https://github.com/itaynir1/tf-second_car_hand