Projects

Sentiment Analysis on SST-5 Dataset

Sentiment analysis was done on the The Stanford Sentiment Treebank (SST-5) dataset.
It was done using 4 classifiers, namely:
- Multinomial Logistic Regression
- Multinomial Naives Bayes
- Decision Tree
- Support Vector Machine
A pie chart containing the distributed % of emotions would be displayed.
Project Link : https://github.com/Ritavdas/Sentiment-Analysis-SST-5-Dataset

Made a Fullstack application using React , Express , MongoDB and Nodejs.
Application allows you to upload a title , message ,tags and a picture.
Users can also like the picture and delete or update their posts.
Libraries used for Frontend : Axios ,moment ,react-file-base64,redux-thunk , Material UI.
Libraries used for Backend :cors ,express, mongoose , nodemon , Body-parser
Project deployed here :
https://angry-tesla-96e3c3.netlify.app
Project Link : https://github.com/Ritavdas/Memories-MERN

Game Made using HTML , CSS and JavaScript.
Catch the keyword bubbles by moving the fish across the screen using your mouse.
The keyword bubbles can even be caught or popped by pressing the particular keyword.
Each bubble pop adds to your score.
Project Link : https://github.com/Ritavdas/Type-or-Catch
Deployed at : https://ritavdas.github.io/Type-or-Catch/

Created and visualized a data frame which tells us the which player are most undervalued so that they can be bought with minimal value when the transfer market opens.
1. Jupyter Notebook : https://github.com/Ritavdas/ML/blob/master/FIFA.ipynb
Created a Machine Learning model that can detect types of the Iris flower.
1. Jupyter Notebook : https://github.com/Ritavdas/ML/blob/master/iris.ipynb
Project Link for both : https://github.com/Ritavdas/ML

Cloned a part of the YouTube ecosystem using ReactJs.
Shows the video that is been searched using React-hooks and fetching data from YouTube API.
Project Link : https://github.com/Ritavdas/yt-mini
Deployed at : https://video-hooks-rosy.vercel.app

Scrapes Data from a popular social news website HACKERNEWS
Focusing on computer science and entrepreneurship.
Uses Python module BeautifulSoup4 for scrapping
This project shows only the articles with a specific amount of votes directly on the IDE that the user is using without ever opening the website.
Project Link : https://github.com/Ritavdas/Data-Scraping