Build Regression, Classification, and Clustering Models

In most cases, the ultimate goal of a machine learning project is to produce a model. Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. Models are constructed using algorithms, and in the world of machine learning, there are many different algorithms to choose from. You need to know how to select the best algorithm for a given job, and how to use that algorithm to produce a working model that pr

• Train and evaluate linear regression models
• Train binary and multi-class classification models
• Evaluate and tune classification models
• Train and evaluate clustering models to identify patterns