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Analyzing K-Pop Using Machine Learning | Part 2: Exploratory Data Analysis (EDA)
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This is part 2 of the tutorial where I find interesting insights from the variables.
In this video, I perform Exploratory Data Analysis (EDA) on the data I collected from part 1 of the video.
You can always go deeper to find more insights in the exploratory data analysis part of the data science cycle. Once you have a good understanding of what you want to do in the model building process, then you can stop it there.
⏰
01:15 I realized I forgot to clean three columns (variables) in the previous tutorial, so I start with cleaning them.
03:31 I analyze continuous variables using histogram, boxplots, and correlation matrix
10:35 I analyze categorical variables using bar charts and pivot tables.
19:36 I download the notebook and upload it to my GitHub page.
#ImportData #KpopMachineLearning #BTS
In this video, I perform Exploratory Data Analysis (EDA) on the data I collected from part 1 of the video.
You can always go deeper to find more insights in the exploratory data analysis part of the data science cycle. Once you have a good understanding of what you want to do in the model building process, then you can stop it there.
⏰
01:15 I realized I forgot to clean three columns (variables) in the previous tutorial, so I start with cleaning them.
03:31 I analyze continuous variables using histogram, boxplots, and correlation matrix
10:35 I analyze categorical variables using bar charts and pivot tables.
19:36 I download the notebook and upload it to my GitHub page.
#ImportData #KpopMachineLearning #BTS
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