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accordian-app

advanced-smart-contract-on-solidity

airbnb-clone-react-typescript

airline-booking-app-backend

airline-booking-app-graphql-api

airline-booking-app-react-native

algorithms-datastructures-in-python

algorithms-in-javascript

angularjs

api-with-node.js

apollo-client-server-

assesment

assignment

aws-cdk

aws-cdk-fundamentals

basic-classification-neural-network-deeplearning

bootcamp-2021-proj-sub

bootcamp-setup

btc-live-graph

Graphs and charts are great for representing information in a clear and concise way. They can be used in various apps to show data to users when needed. Quickly changing data can be better represented using realtime graphs and charts as users can quickly see both current and historical data easily.

btc-project

build-a-blog-site-in-gatsby.js-contentful-with-typescript-and-deploy-as-a-pwa

build-a-developer-profile-portfolio-site-in-gatsby.js-contentful-with-typescript-and-deploy-as-a-pwa

build-an-space-x-client-application-with-react-typescript-appllo-client-3-and-spacex-api

c-program

covid-19_tracker-app

Corona Virus is, unfortunately, spreading through the entire world. What can we, as developers, do to make the situation better? We can help to spread awareness by visualizing the data. The data is fetched from the API and we'll create cards displaying the statistics as well as Charts. This project/application is created using the most modern JavaScript syntax. Along the way, you'll learn how to use Material UI, Charts.js, React Hooks, API data fetching, all of it in React JS!

create-react-app

Set up a modern web app by running one command.

cryptographic-functions-solidity

dao-smart-contract

deep-learning

deeplearning-hand-written-digit-recogniation-03

The MNIST problem is a dataset developed by Yann LeCun, Corinna Cortes and Christopher Burges for evaluating machine learning models on the handwritten digit classification problem. Images of digits were taken from a variety of scanned documents, normalized in size and centered. Images of digits were taken from a variety of scanned documents, normalized in size and centered. Each image is a 28 by 28 pixel square (784 pixels total)