This course will cover the key stages involved in building a comprehensive program. It also explains how to build and save a model such that you get the same results every time it is run and call a saved model to use it for predictions on 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.