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Questions mostly concerned with managing data, without focus on pre-processing or modelling.
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Why does an imbalanced data set badly effect distance measures like Mahalanobis?
Mahalanobis distance is defined as a distance between a point and a distribution. The key is how you define the distribution and I would say the imbalance of classses is not the problem in itself here …
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Building a content-based music recommendation system
If the features are identical, good start would be to use n-neighbors approach.
It would be something like that
from sklearn.neighbors import NearestNeighbors
all_songs_features = [[0, 0, 2], [1, 0, …