No-code ML with RapidMiner: Performing Regression Analysis

Regression is used in the real world to predict things like stock prices car mileage or insurance premiums. RapidMiner studio offers an easy-to-use visual designer that allows you to construct a regression workflow with little to no code. In this course explore regression models and the R-squared metric used to evaluate regression models. Next use RapidMiner to retrieve data and use it for modeling. Then automate data preparation with Turbo Prep automate the training of multiple regression models using Auto Model and compare these models using RapidMiner. Build a workflow to train regression models by using operators for data cleaning imputing missing values one-hot encoding and partitioning your data. Finally train multiple models for regression analysis and compare their performance and perform hyperparameter tuning to get the best model design for your use case. When you are finished with this course you will be able to build a complete workflow in RapidMiner for regression analysis and improve your model using hyperparameter tuning.