/P33.-Unsupervised-ML---PCA-Data-Mining-Univ-

Unsupervised-ML---PCA-Data-Mining-Univ. Import Dataset, Converting data to numpy array, Normalizing the numerical data, Applying PCA Fit Transform to dataset, PCA Components matrix or covariance Matrix, Variance of each PCA, Final Dataframe, Visualization of PCAs, Eigen vector and eigen values for a given matrix.

Primary LanguageJupyter Notebook

P33.-Unsupervised-ML---PCA-Data-Mining-Univ-

Import Dataset

Converting data to numpy array

Normalizing the numerical data

Applying PCA Fit Transform to dataset

PCA Components matrix or covariance Matrix

Variance of each PCA

Final Dataframe

Visualization of PCAs

Eigen vector and eigen values for a given matrix