TechStacK: Decision Tree, Random Forest, SelectKBest, Grid Search, Variance Threshold. Feature Selection techniques used to handle imbalanced datasets, then we chose best features analysing EDA. Accordingly, 3 pipelines are created for 5, 10, and 15 features, and each of those is performed using these techniques for different Music genre classes.
subhammaji / music-genre-classification Goto Github PK
View Code? Open in Web Editor NEWTechStacK: Decision Tree, Random Forest, SelectKBest, Grid Search, Variance Threshold. Feature Selection techniques used to handle imbalanced datasets, then we chose best features analysing EDA. Accordingly, 3 pipelines are created for 5, 10, and 15 features, and each of those is performed using these techniques for different Music genre classes.