Short answer: yes!
Concrete ML is built so that you could benefit from all positive aspects of Homomorphic encryption like operations on ciphered data without having to learn any of the cryptographic concepts implied. Moreover the sklearn API is there to help you turn your favorite models into their homomorphic equivalent, ready to be run on ciphered data.
You just need to be with one of the popular machine learning framework in Python.
If you are interested by the details involved under the hood, Concrete ML allows you to use all components independently but this time it requires some background in compilation and/or cryptography. More information on the Concrete ML components on the main documentation page here