Machine Learning, Data Science, Data Scientist, Mlops, Algorithms.
for other algorithms. We fit PCA to the data X. During this process, PCA identifies the axes (principal components) that account for the most variance in the data. 3. Transform the Data: The transform method of PCA is used to apply the dimensionality reduction to X. This results in a new dataset