The term "micromobility" has just recently entered our lexicon (approximately 2017) and it can be defined simply as mobility pertaining to short routes and distances, primarily in cities. Micro vehicles, which have a light mass and a constrained speed, are included in the idea of micromobility, both powered and unpowered, private and shared vehicles are covered in this list. The shared use of vehicles, specifically bicycles, is the main topic of this thesis. Micromobility sharing services have expanded significantly since this idea was first proposed in many parts of the world. In this study, the usage of these services was analyzed using some Machine Learning models such as: ARIMA, Linear Regression, Lasso, Ridge, Random Forest and Gradient Boosting.