For this demo project, we used a dataset of about 10,000 machines with combustion engines data.

You will input a machines's information like torque, tool wear, rotation speed, etc, and each model would predict if the machine would have a failure or not.

We got this dataset from Kaggle you can view and download here.

Here is a jupyter notebook pdf with the code for the Logistic Regression solution here