Machine Learning, Data Science, Data Scientist, Mlops, Algorithms.
variance in the data are found using PCA. The first principal component captures the most variance, the second principal component (orthogonal to the first) captures the next most, and so on. Evaluation Metrics Explained Variance: Indicates how much variance in the data is captured by each