Trip-advisor

TripAdvisor predicts the ratings of the trip from 1-5 based on its features.
Read the data from excel using pandas and data contains different attributes in columns.
Spilt the 90% of the data into training and remaining for testing.
First initialised the model with some layer and initialised its weights.
Then using forward propagation to find the predicted output and then comparing with the training data to find the errors.
Then using backpropagation to update the weights using error from before and training the model.
Used Gradient descent alogorithm to reduce the cost/error.
After updating the weights we will predict the output from the test data.