Hyperparameter optimization using the papermill package
In this video, I explained hyperparameter optimization using the Papermill package. I used a decision tree learning method for hyperparameters as an example. We demonstrated the results by experimenting with different parameter combinations for better learning. The Papermill package allows you to run a Jupyter notebook file with different parameters, making data science work easier.
Homepage: https://papermill.readthedocs.io/en/l...
Github: https://github.com/nteract/papermill
To install: pip install papermill
Dataset: https://www.kaggle.com/uciml/pima-ind...
Table of Contents:
00:00 - Introduction
03:09 - What is Papermill? What does it do?
04:10 - Papermill Installation
05:44 - Working Notebook
08:51 - Learning Phase
20:36 - Working Notebook
31:45 - Trials
34:38 - Comparing Results
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