[Data Mining] Show and Tell: Using Joblib for Lightweight Machine Learning Pipelining in Python
Channel: Lighton Phiri
Date: 19/05/2020

In this screencast snippet, we introduce the importance of persistent states when working with data mining pipelines. 

We use Joblib [1] to illustrate how states can be persisted onto disk and later referenced, an incredibly useful technique when implementing machine learning models.

This segment is part of a screencast [2] produced for the CSC 5741 course [3] offered at The University of Zambia [4].

[1] https://scikit-learn.org/stable/modules/model_persistence.html
[2] https://youtu.be/5Mzx23JQosA
[3] https://www.unza.zm