What should students learn before starting Machine Learning ?

Students do not need to master everything before starting Machine Learning, but some fundamentals make the learning process easier. A useful foundation includes: Basic Python Variables and functions Data structures Basic statistics Basic mathematics Data handling Problem-solving After that, students can start learning concepts such as supervised learning, unsupervised learning, model evaluation, and feature preparation. Trying to jump directly into advanced models without understanding the basics can make Machine Learning unnecessarily difficult.