Dimensionality Reduction
ML
Techniques to reduce the number of features (variables) in a dataset while retaining important information. Methods like PCA and t-SNE help visualize high-dimensional data and improve model efficiency.
ML
Techniques to reduce the number of features (variables) in a dataset while retaining important information. Methods like PCA and t-SNE help visualize high-dimensional data and improve model efficiency.