Question: Use keras to initialize a sequential neural network that can take the predictors from the training data set as input, contains at least one hidden

Use keras to initialize a sequential neural network that can take the predictors from the training data set as input, contains at least one hidden layer, and generates continuous predictions. This sounds harder than it is:

see a simple regression example here.2 How many parameters does the neural network you aim to fit have?

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