Principal Component, Data Science, Dimensionality Reduction, Machine Learning.
however, when we have a lot of them it could be negative for the model performance, causing overfitting. Therefore, the idea would be to use only a carefully selected subset of attributes, the ones with more relevant information about the problem. This approach results in dimensionality reduction,