Lab
A Cloud Guru

Using Python ML for Predictive Analytics

This lab guides the student through Python examples that utilize metrics gathered from Prometheus. The Python Sci-Learn library is used for a Linear Regression example.

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Path Info

Level

Beginner

Duration

1h 0m

Published

Apr 05, 2019

Challenge

Install pip3.
The command to install pip3 is:
```
sudo apt install python3-pip
```
Challenge

Install Sci-Kit and Pandas Python modules.
Use the pip3 command to install Sci-Kit Learn:
```
pip3 install scikit-learn
```
And:
```
pip3 install pandas
```
Challenge

Review and run the check.py program.
To review the code, you can navigate to the GitHub repository and view the check.py file. The link is:
```
https://github.com/linuxacademy/content-aiops-essentials/blob/master/check.py
```
The command to run the program is:
```
python3 check.py
```

Challenge

Review and run the predictcpu.py and predictmem.py programs.

To review the programs, you may use the following links:

For predictcpu:

https://github.com/linuxacademy/content-aiops-essentials/blob/master/predictcpu.py

For predictmem:

https://github.com/linuxacademy/content-aiops-essentials/blob/master/predictmem.py

To run the programs, the command is:

python3 predictcpu.py

And:

python3 predictmem.py

Challenge

Change the number of replicas to project.
To change the number of replicas to project, edit the following file:
```
[vi or nano] promql2.csv
```
And then change the data column for replicas to the values you want to project.

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.