This course covers the main steps for working on a supervised machine learning problems, classification and regression. It will also cover how to effectively create unbiased models that perform well over unseen data. This course is part of The Machine Learning learning path– complete this path to build and deploy Machine learning models using Python libraries.
Knowledge and experience in Python programming are a must. No prior knowledge of scikit-learn or machine learning algorithms is required.