All the notable changes for this project is documented here. This project lightly adhere to Semantic Versioning.
Production release of the implementation of PCA algorithm. This release features the following stable implementations:
PCA().fit_transform()function is able to calculate the PCA as per requirement, and is validated using state-of-the-art modules (check example for more information).- updated documentations and information regarding the code and functions.
- added pipelines to quickly check and analyse code bugs (when a new commit is added).
A simple version of Principal Component Analysis (PCA) code is developed using the numpy library.