Today I spent a lot of time reorganizing things. I took my anomaly_detection.py file, and removed it from the scheduler. This was because the scheduler.py file ran this and the ml_models.py time every hour on the hour. So instead I added the anomaly_detection.py file to the ml_models.py, so now it runs that, and then the scheduler runs the models file, which then runs the anomaly detection file, so its all in one complete loop:

every hour: scheduler -> ml models -> anomaly detection

Because of this change I was able to add the anomaly detection (Isolation Forest algorithm) as a feature for all the models I was training: the random forest alg, neural network, and linear regression model.