Machine Learning has taken the technological world with surprise by its accessibility of different information present in a dataset. Learning to adjust parameters with correspondence to information that is infinitesimally small to naked eye can actually be perceived by the model and maneuver it accordingly.

Machine Learning has been unfairly overused in the fields of computer vision, voice recognition, and robotics. Our aim with the help of this TwinAPI.SimuLearn library is to perform tasks pertaining to subjects dealing with physics and mechanics.

In the SimuLearn Machine Learning API, different real-world scenarios has been taken into consideration and making the process automated while reducting the unnneccassary tehcnical jargon that a normal user find it difficult to comprehend.

Below are few of the supervised learning Machine Learning algorithms present in the TwinAPI.SimuLearn library.