This notebook is a study on the sales of newspapers of a local stand, with intention to predict the newspaper sales performance based on the different features available. For this, 4 sklearn models are applied: Linear Regression, Lasso Regression, Ridge Regression and Elastic Net Regression. The model is applied to dataset Newspaper_Sales, which is supplied separately in .csv format.
This file contains 4 main sessions:
- Dataset Overview
- Binary Linear Regression
- Multiple Linear Regression
- Regularisation Methods
- L1 (Lasso)
- L2 (Ridge)
- Elastic Net
- Evaluation of Regularisation Methods