It is important to write code comments. Programmers should not comment every line of code: doing so would clutter the code, and programmers do not have time to do so in any event. Programmers must judiciously decide where to write code comments. We have created a machine learning model that suggests locations where a programmer should write a code comment. We trained it on existing high quality commented code to learn locations chosen which are chosen by developers. Once trained, the model can predict locations on new code. We find that our models can achieve good accuracy on this task but there is a lot of scope for future improvements.