Introducing Machine Learning for Telecommunication



The Machine Learning for Telecommunicaton solution provides a framework for an end-to-end machine learning (ML) process including ad-hoc data exploration, data processing and feature engineering, and model training and evaluation. It also includes a synthetic telecom IP Data Record (IPDR) dataset to demonstrate how to use ML algorithms to test and train models for predictive analysis in telecommunication. Customers can use the included notebooks as a starting point to develop their own custom ML models, and customize the included Jupyter notebooks for their own use case.

Source:: Amazon AWS