Skip to content

Latest commit

 

History

History
8 lines (6 loc) · 509 Bytes

File metadata and controls

8 lines (6 loc) · 509 Bytes

Fitting-and-Visualizing-of-a-Regression-model

The final project for the course CS-C2105 Programming Studio A at Aalto University

  • The project’s goal is to build a program which can be used to fit a regression model to a dataset and visualize the result, as well as assessing the model with mean squared error.
  • It supports two regression model: linear and quadratic regression.
  • Users can modify the plot by changing the lines' and data points' color.

The programmed is built mostly on Scala.