Hands-On Industrial Internet of Things

Preparing the environment

We need to prepare our environment as follows:

1. From the command console, install pandas and numpy with the following commands:

pip install pandaspip install numpypip install matplotlibpip install seabornpip install scipypip install keras

2. Download NASA's dataset in a folder named, data
3. In the same directory, create a new file called my_prognostic.py
4. Finally, write the following lines of code to import the data:

import pandas as pdimport numpy as np# read the datasetcolumns = ['unitid', 'time', 'set_1','set_2','set_3']columns.extend(['sensor_' + str(i) for i in range(1,22)])df = pd.read_csv('./data/train_FD001.txt', delim_whitespace=True,names=columns)print(df.head())

5. From the command console, run the algorithm: ...