Shubhangi Gupta's Projects
450 DSA Cracker helps you build your confidence in solving any coding related question and helps you prepare for your placements šØš»āš
We are building an interface that helps users with a situation by the use of an AI that asks questions on the basis of a code which the aspirant has written, asked from a diverse pack of frequently asked coding questions. Then the AI asks the aspirant questions related to his code and some staple questions. At the end of this experience, the user receives his interview profile showing him his flaws in answering questions, his fluency, and his ability to handle the situation verbally. This can be done on various levels and be stored for future scrutiny by the user. We can also provide a growth curve that helps the aspirant to judge his progress.
š Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
https://madewithml.com/courses/applied-ml-in-production/
š Learn ML with clean code, simplified math and illustrative visuals.
This repository deals with the Pre-defined Machine Learning and Deep Learning models' implementation.
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
$ git remote <graduation> yearbook
Make your first Pull Request and earn a free tee from GitHub!
Cloud infrastructures should be designed and managed collaboratively and visually. Get your IaC standardised.
We plan to create an AI which has analytical reading and answering abilities. The AI would have abilities to read books, analyze them analytically and finally answer logical questions.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent