G2

Paresh A.

Software Engineer

Information Technology and Services

Enterprise (> 1000 emp.)

6/7/2018

"Best For Applying ML on NeuroImaging Data."

5/5

What do you like best about Nilearn?

Nilearn is the machine learning library developed especially for the neuroimaging data processing.It has vast trained models on the neuro imaging data gathered from various MRI machines and other neuro imaging machines.It can be used to apply supervised learning on neuroimaging data as well it can be used to suggest the treatment in accordance with the input data to predict the treatment.It can also be used for Decoding and MVPA.So it is the best library for applying Machine Learning on neuroimaging data and predict proper results. Review collected by and hosted on G2.com.

What do you dislike about Nilearn?

I have nothing to dislike about Nilearn because it has given best results for my application. Review collected by and hosted on G2.com.

Recommendations to others considering Nilearn:

I recommend using Nilearn because it helps you to predict best results on neuroimaging data and works better than any other API's so I would suggest using Nilearn if you are dealing with neuroimaging data or doing research on applying ML on neuroimaging data.Also if you are working to develop software for health sector dealing with neuro science than you should use Nilearn.In short if you are dealing with neuroimaging data I recommend you using Nilearn. Review collected by and hosted on G2.com.

What problems is Nilearn solving and how is that benefiting you?

I am a software developer and have to work with various sectors and develop softwares for them so I also get projects from health sector and for that I have to develop software for neurological doctor to predict the treatment in accordance with the imaging results and at that time I used Nilearn for the project.I also used it once for developing software for MRI developing company to integrate it with their machine.So Nilearn has helped us a lot. Review collected by and hosted on G2.com.