#Bike Share -In this project, the goal is to predict the number of future bike shares given the historical data of London bike shares.
-So this case should be handled as a time series problem with Bidirectional LSTM.
-In order to achieve this goal, you will make predictions with LSTM, unlike the machine learning algorithms you have applied before.
-Long short term memory (LSTM) is an artificial repetitive neural network architecture used in the field of deep learning.
-Unlike standard feed forward neural networks, LSTM has feedback links. It can process not only single data points but also entire data series.
dataset:
cnt distribution:
change over the time :
loss function result after bidirectionalLSTM algorithm:
Time Series plot for actual and prediction:
our pattern after deep learning algoritm:
