Notebooks developed in Mathematica for my Ph.D. thesis and other resources
- Updated
Feb 14, 2023 - Mathematica
Notebooks developed in Mathematica for my Ph.D. thesis and other resources
Notebooks of programming assignments of Improving Deep Neural Networks course of deeplearning.ai on coursera in August-2019
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.
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