K-Pop Machine Learning Tutorial Series
Analyzing K-Pop Using Machine Learning | Part 1 — Data Collection & Cleaning
This is part 1 of the tutorial where I collect the K-Pop data and clean the data.
Published in
5 min readMay 25, 2020
Video version with explanation: https://youtu.be/lkhorCY5tFA
My entire code: https://github.com/importdata/kpop-analysis/blob/master/K_pop_Data_Cleaning.ipynb
Intro
As someone who was born and raised in South Korea, I grew up listening to K-pop. Over the years, K-pop became a global phenomenon and it still blows my mind how popular it became.
So, I thought it would be cool to analyze K-pop using machine learning to explore interesting insights. Thank you Chanin (aka. Data Professor) for the idea!
In this post, I am going to show you the data collection and the data cleaning phases of the data science cycle.
