Coder Social home page Coder Social logo

Ayush Gupta's Projects

ayushguptaportfolio icon ayushguptaportfolio

A brief Portfolio about me as a prospective Data Scientist/Machine Learning Engineer

comp_5331_project_fake_news_detection icon comp_5331_project_fake_news_detection

- Image classification using Deep learning. - Utilizing both frequency and pixel domain information of images. - Implemented MVNN model from a research paper published in 2019 IEEE ICDM. Achieved comparable accuracy to the original model. - Compared with several deep learning models: Pre-trained (VGG-16, VGG-19) and our own implementations of CNN based models (with different number of layers) - Research project utilized as a part of a course: COMP 5331 - Knowledge Discovery in Databases, from HKUST (The Hong Kong University of Science and Technology). - Referenced paper (for MVNN model) - P. Qi, J. Cao, T. Yang, J. Guo, and J. Li. Exploiting multi-domain visual information for fake news detection. In 2019 IEEE International Conference on Data Mining (ICDM), pages 518–527, 2019.

data-science-interview-resources icon data-science-interview-resources

Forked - A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

general_programming icon general_programming

Implementing various concepts in programming - To improve my understanding and skills

mphil-thesis-documents icon mphil-thesis-documents

My MPhil Thesis Published at HKUST: Monitoring Food Waste in Restaurants Using Computer Vision and Data Visualization

research_a_computational_comparison_of_sorting_algorithms icon research_a_computational_comparison_of_sorting_algorithms

Capstone Research Project - A Computational Comparison of Sorting Algorithms (License: Creative Commons Attribution Share Alike 4.0 International: https://choosealicense.com/licenses/cc-by-sa-4.0/#) (Completed by Dec'18, then modified a bit))

spotifysongranking icon spotifysongranking

Spotify Song Ranking Analysis and Spotify Songs Audio Features Analysis (Completed by June'19) - Team project during Data Visualization Course at The Hong Kong University of Science and Technology (HKUST).

statlearning-notebooks icon statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

vislab_coding icon vislab_coding

For a project on Spotify Songs Ranking Dataset and Spotify Audio Features Dataset on Kaggle

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.