This course provides a basic introduction to clustering and dimensionality reduction in R from a machine learning perspective.
Learn to train and assess models performing common machine learning tasks such as classification, regression and clustering.
Learn how to build and tune predictive models and evaluate how well they will perform on unseen data.
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.
This course will equip you with all the skills you need to clean your data in Python.
Learn how to access financial data from local files as well as from internet sources.