In this chapter, we learned what Bitcoin data looks like and how it can be used to generate various models. In addition to that, we got a chance to use various algorithms, such as RNN in iPython Notebook, on a Bitcoin dataset to predict the price based on a timestamp. 

In the next chapter, we are going to look at weather datasets and predict future weather based on a historical dataset.