Data preparation EDA and visualization using AutoVIML on tabular data

Описание к видео Data preparation EDA and visualization using AutoVIML on tabular data

Tabular Dataset: Musical Track Features and Genres
The first dataset includes various numerical and categorical attributes that describe the characteristics of musical tracks and their genres. This dataset is perfect for genre classification and analyzing musical patterns.

Attributes:
Danceability, Energy, Loudness, Speechiness, Acousticness, Instrumentalness, Tempo, Valence
Genres: Categorical labels representing the type of music (e.g., Trap, EDM, Hardstyle).
Dataset Size:
Rows: 42,305
Columns: 28 (after preprocessing)

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