9. Sequential Modeling with Recurrent Neural Networks

Activity 9.01: Predicting the Trend of Amazon's Stock Price Using an LSTM with 50 Units (Neurons)

In this activity, we will examine the stock price of Amazon for the last 5 years—from January 1, 2014, to December 31, 2018. In doing so, we will try to predict and forecast the company's future trend for January 2019 using an RNN and LSTM. We have the actual values for January 2019, so we can compare our predictions to the actual values later. Follow these steps to complete this activity:

1. Import the required libraries:

   import numpy as np
   import matplotlib.pyplot as plt
   import pandas as pd
   from tensorflow import random

2. Import the dataset using the pandas read_csv function and look at the first five rows of the dataset using the head method:

   dataset_training = pd.read_csv('../AMZN_train.csv')
   dataset_training.head()

   The following figure shows the output of the preceding code:

   Figure 9.24: The first...