Скачать или смотреть DS Bootcamp Week 6: Hyperparameter Tuning

This is the third 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. Unfortunately, "good" is hard to define. Once we understand what hyperparameters our model has and what each of them do, it's time to choose good values for those hyperparameters. This is called Hyperparameter Tuning.

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 page for Cross-Validation (pretty theory-heavy!)
https://en.wikipedia.org/wiki/Cross-v...)

The idea behind Cross-Validation, from Great Learning
https://www.mygreatlearning.com/blog/...

Tuning Hyperparameters with Sci-kit Learn
  / tuning-scikit-learn-hyperparameters-a-comp...  

Tuning Hyperparameters with Optuna
  / master-the-power-of-optuna-a-step-by-step-...