bump code to v0.1.0 release

see release notes for more informations

CHANGELOG.md

@@ -1,5 +1,12 @@
 # Change Log
 All the notable changes for this project is documented here. This project lightly adhere to [Semantic Versioning](http://semver.org/).
 
-## [0.1.0-develop] - development
-A simple version of Principal Component Analysis (PCA) code is developed using the `numpy` library.
+## [0.1.0](https://github.com/ZenithClown/decompose/releases/tag/0.1.0)
+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](https://github.com/ZenithClown/decompose/blob/master/examples/Understanding%20Iris%20Dataset%20with%20PCA.ipynb) 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).
+
+## [0.1.0-develop](https://github.com/ZenithClown/decompose/releases/tag/0.1.0-develop)
+A simple version of Principal Component Analysis (PCA) code is developed using the `numpy` library.