Week 0’s assignment might have been enough for you to realize that although quite handy and simple to use, Linear and Logistic Regression models can only help you reach a certain level of accuracy 🤐 and there is a dire need for more robust models that can handle different types of data and make better predictions. ✅
This week we’ll begin by looking at different ways to evaluate your model and improve predictions. Post that; we’ll dive into a new domain of ML called unsupervised learning and understand the kind of problems that can be solved using this class of ML algorithms. We’ll cap it off with some more interesting supervised learning algorithms that can help you handle different kinds of data and understand how they can be used to improve your predictions. 💹