This course explores three different supervised learning algorithms used for classification. It also takes a step-by-step approach to solve a supervised learning classification problem using these algorithms and perform error analysis by comparing the results of the three different algorithms. 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.