In this project, I built RNNs that can generate sequences based on input data - with a focus on two applications: used real market data in order to predict future Apple stock prices using an RNN model. The second one will be trained on Sir Arthur Conan Doyle's classic novel Sherlock Holmes and generates wacky sentences based on it.

I used Python to code this project, Keras and TensorFlow to train the models. It is connected to the Artificial Intelligence Nanodegree program, from Udacity.