Скачать или смотреть DS Bootcamp Week 6: Hyperparameters

This is the second video for week 6 of the data science bootcamp I offer students FOR FREE at the Community College of Aurora. The bootcamp is meant to take you from never having used Python and knowing very little statistics to being able to approach your own independent data science and machine learning projects.

Each week has have one video and a mini-project to practice what you've learned. The topics, subjects, and mini-projects are the same online as they in-person.

This week is all about fitting GOOD machine learning models. The second step of fitting a good model is understanding the model architecture. Hyperparameters define the model architecture, and we can change the model (and significantly improve performance) by choosing the right hyperparameters.

The mini-project for the week is in this Google Drive Folder:
https://drive.google.com/drive/folder...

The Week 1 video can be found here:
   • DS Bootcamp Week 1  

The Wikipedia article on Hyperparameters (you can learn a lot on Wikipedia!)
https://en.wikipedia.org/wiki/Hyperpa...)

Ridge vs. Lasso Regression
https://www.statology.org/when-to-use...

An article about which Hyperparameters are Most Important
https://blog.dataiku.com/narrowing-th...

Hyperparameters and Support Vector Machines
https://stackabuse.com/understanding-...

Hyperparameters and Random Forests
Online article: https://www.analyticsvidhya.com/blog/...
Scientific Article: https://arxiv.org/pdf/1804.03515

Hyperparameter Optimization with Optuna
  / master-the-power-of-optuna-a-step-by-step-...