vikasdo / Book-Recommendation-Analysis

The E-commerce Industry is rising day by day .So for this we need a Efficient E-commerce Recommendation system . So In this Project We Try to make a recommendation system which will recommend the Items to Authors,Publishers and Retailers in such a way so that they will get a personalized Feed back from user reviews. Retailer gets more profit By Understanding the customer and focusing on their purchase pattern.

MIT License

28 stars 29 forks source link

Password Validations in front -End #101

Closed arpit456jain closed 3 years ago

arpit456jain commented 3 years ago

Description

Password Validations in front -End

Fixes #87

Type of change

[ ] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] This change requires a documentation update

How Has This Been Tested?

https://user-images.githubusercontent.com/55352601/115577778-4fcbd880-a2e2-11eb-8927-6fc9c1aa7d26.mp4

Checklist:

[x] My code follows the style guidelines of this project
[x] I have performed a self-review of my own code
[x] I have commented my code, particularly in hard-to-understand areas
[] I have made corresponding changes to the documentation
[x] My changes generate no new warnings
[ ] I have added tests that prove my fix is effective or that my feature works
[ ] New and existing unit tests pass locally with my changes
[ ] Any dependent changes have been merged and published in downstream modules

arpit456jain commented 3 years ago

@vikasdo kindly review my PR