This repo houses code that illustrates the use of the python joblib package to speed up execution of a typical data science machine learning based workflow. Joblib is used in data pre-processing and hyper-parameter tuning.
Data for this project can be found on Kaggle. It was downloaded on 11/19/22.
Experiments were run on a Dell Latitude E5450 laptop with an Intel Core i7-5600U (4 Core) and 16 GB of RAM, running Manjaro Linux.