Using BigML: Building Supervised Learning Models

The versatility of BigML allows you to build supervised learning models without much complexity. In this course youll practice constructing a selection of supervised learning models using BigML. Youll start by building an ensemble of decision trees to perform binary classification. Next youll build a linear regression model to predict the values of homes in a particular region. Youll then train and evaluate a logistic regression model to illustrate how it can be used to solve similar problems to those solved using ensemble methods. Another BigML capability youll explore is building a time series plot to make various forecasts. In each demonstration youll delve into some optional configurations for the model being trained. Lastly youll use the OptiML feature to find the optimal model for your data.