Anomaly Detection using various machine learning techniques in Python

By Ritesh Bhattacharyya

Using Python and Scikit-Learn, MatplotLib, Seaborn, Pandas in Various domains for anomaly detection with required code.

Anomaly Detection is the process of identifying unexpected items or events in datasets, which differ from the normal. We know the machine learning algorithms have the ability to learn from data. Actually the items or enents present in a dataset, if differs from others then it is called anomaly events or items.

The main cause behind making this model just to make a such kind of intelligent model to identify the abnormally and then inform it to us so that we correct the final result.

If you go through this ipynb file you find that here we actually this type of anomalous problems in our real life and how can we tackle this with encoders and many more machine learning techniques that happen in real world.