Rafa d

In this course, we will learn the basics of artificial intelligence and how it can be applied to various real-world scenarios. Topics will range from using numpy to linear regression to classification to more advanced topics. We will not be implementing models from scratch. Generally, in machine learning, we use certain premade code that applies to most situations. Instead, we'll use premade libraries that allow us to tweak the model with various hyperparameters. It's okay if you don't know all of these terms, you will learn them all in the course :) Prerequisites: Knowledge of basic python/coding (roughly 50 hours): variables, functions, loops, using libraries; of course, you can still join the class without knowing all of this, but it will be much harder to follow along. w3schools.com is a great resource to learn python quickly.