9. Recurrent Neural Networks

Activity 9.01: Building an RNN with Multiple LSTM Layers to Predict Power Consumption

Solution:

Perform the following steps to complete this activity.

1. Open a new Jupyter or Colab notebook.
2. Import the libraries needed. Use numpy, pandas, datetime, and MinMaxScaler to scale the dataset between zero and one:

   import numpy as np
   import pandas as pd
   import datetime
   from sklearn.preprocessing import MinMaxScaler

3. Use the read_csv() function to read in your CSV file and store your dataset in a pandas DataFrame, data:

   data = pd.read_csv("household_power_consumption.csv")

4. Create a new column, Datetime, by combining Date and Time columns using the following code:

   data['Date'] = pd.to_datetime(data['Date'], format="%d/%m/%Y")
   data['Datetime'] = data['Date'].dt.strftime('%Y-%m-%d') + ' ' \
      ...