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setup-files-react-beach-resort

Setup Files React Beach Resort

shopit

shopit-html

shopping-cart

Java Shopping Cart Project using Java SE, SQLite etc.

shoppoint

:loudspeaker: A mern stack e-commerce app

simple-php-project

It is a simple PHP project using php, css, javascript etc.

social-media-app-react

This is a full stack, fully-featured social media application using React, Firebase, Redux, Express, and Material-UI.

some-database-projects

These projects are created using Java, MySQL Workbench, Java Swing etc.

spekter-gmbh-task

Spekter GmbH Task

think-in-a-react-way

All the lessons given regarding React JS in Learn with Sumit React JS Tutorial Series called "Think in a React way"

trending-deep-learning

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

typescript-with-node.js-express.js-mongoose

TypeScript with Node.js, Express.js and Mongoose.

uptime-monitoring-api-raw-node

A RESTFul API to monitor up or down time of user defined links. This is a raw node.js project without using any third party modules or packages.

vanilla-todo-app-using-javascript

Vanilla todo app using JavaScript.

vue.js-fundamental

Vue.js Fundamental

vue.js-integration-with-laravel

Vue.js Integration with Laravel

web-devlopment-wordpress

Web Devlopment Wordpress

web-games-es7

HTML5, CSS3, JavaScript (ES7 2017, ECMAScript 2017), WebGL & GLSL, Audio & Video Player, Blackjack 2021!

web-scrapping-for-youtube-comments

Here scrapping YouTube comments technique has been shown where a link of YouTube video is taken as input. After entering YouTube video URL automatically comments are scrapped. Also it is shown that whether it is negative comment or positive comment. Feedback related others information are also displayed. It is written in Python Jupyter Notebook and selenium is used for making this scrapper.

whatsapp-ui-clone

I had cloned the home UI of whatsapp using ReactJS

wtfjs

🤪 A list of funny and tricky JavaScript examples

youtube-video-feedback-analysis

It is predictive model using Jupyter Notebook and python flask which will take YouTube comments as input and it will tell whether it is positive comment or negative comment. Natural Language Processing (NLP) Technique has been used in this case.