SyedMuhammedBilal/Quiz-App-with-React-and-TypeScript

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Updated over 4 years ago

SyedMuhammedBilal/Quiz-App-with-React-and-TypeScript

SyedMuhammedBilal

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Using Typescript can help make sure your variables and props are what you intend since it evaluates your code during compile-time (as opposed to run-time). This becomes especially important as your program becomes larger.

TypeScript-4.0

SpaceX-ApolloClient-Graphql-React-with-TypeScript

Web-Animation-API

Shopify-Development-with-Gatsby

OpenRoad-Fiverr

Node.JS-

Moments-by-Lori-Fiverr

React-TypeScript

Apollo-Client-server-

assignment

Project-9B-Building-Diaries-App-using-React-and-Redux-Toolkit-with-TypeScript

Goerli-ETH-ERC20-token

Build-an-Space-X-Client-Application-with-React-TypeScript-Appllo-Client-3-and-SpaceX-API

React-Redux

Build-a-Developer-Profile-Portfolio-site-in-Gatsby.js-Contentful-with-TypeScript-and-Deploy-as-a-PWA

Project-12E-Virtual-Lolly-using-Gatsby-Netlify-FaunaDB-Formik-and-Storybook-6

React-Redux-Toolkit

Build-a-Blog-site-in-Gatsby.js-Contentful-with-TypeScript-and-Deploy-as-a-PWA

Red-Queen-Race-with-ReactHooks

Project-10-Build-a-Signup-Form-and-Multi-Step-Form-with-Formik-And-Yup-using-TypeScript

Project-10A-Building-Full-Stack-Expense-Tracker-with-Serverless-REST-API-using-Node.js-Express-Mongo

Project-4B-Develop-Tiny-Short-Animation-with-React-Hooks

Project-7B-Build-a-React-Timer-App-using-TypeScript-with-Test-driven-Development

DupHub-Fiverr

React-with-Typescript4.0

Phatrol-Fiverr

Flask

React-useRef

house-predicting-model

The dataset describes 13 numerical properties of houses in Boston suburbs and is concerned with modeling the price of houses in those suburbs in thousands of dollars. As such, this is a regression predictive modeling problem. Input attributes include things like crime rate, proportion of non retail business acres, chemical concentrations and more.

Jupyter Notebook

Project-7A-Rebuild-the-Expense-Tracker-App-with-React-TypeScript-it-should-be-a-Progressive-Web-App

Expense tracker app built from TypeScript, used ServiceWorker to convert web into Progressive Web App. TypeScript provide Types and Interface that will make apps and webs more reliable.TypeScript supports JSX and can correctly model the patterns used in React codebases like useState.

E-Commerce-And-Stripe-using-React

Python-Flask

Python Flask with NoSQL DataBase (mongodb)

react-hooks

Facial-Detection

face recognition in both images and video streams using: OpenCV Python Deep learning As we’ll see, the deep learning-based facial embeddings we’ll be using here today are both (1) highly accurate and (2) capable of being executed in real-time

Jupyter Notebook

Dropout-Regularization-Project

Jupyter Notebook

Machine-Learning

Jupyter Notebook

SpaceX-nodeJS

Basic-Classification-Neural-Network-DeepLearning

Jupyter Notebook

State-Management-in-React

piaic

A bootcamp project to build a blazing fast website with gatsby, gatsby based on javascript and react, and gatsby also give us plugins that help us in writing less code and make our work more efficient.

Management-System

Gatsby-Blog-WebApp

Fourpercent-Gatsby-WebApp

Algorithms-in-Javascript

web-scrapping

Jupyter Notebook

Accordian-App

Python-Classes

Jupyter Notebook

Fetching-Data-in-React

API-with-Node.js

C-Program

Node-JS

AngularJS

Airline-Booking-App-React-Native

Airbnb-clone-React-Typescript

Hand-written-digit-Classification-02-Deeplearning

Jupyter Notebook

AWS-CDK

Project-12B-Build-a-Macro-Compliance-Tracker-in-Next-and-MongoDB-Atlas-with-TypeScript

Expense-Tracker

React-Context-Api

Menu-App

Project-9A-Create-a-Shopping-Basket-using-React-and-Redux-Toolkit

Managing-State-with-Redux-Toolkit-and-Building-API-Mocking-Servers-with-Mirage

Spotify-Clone

an advanced Spotify clone created on React, Material-ui, SASS. Spotify clone script enables users to share their favorite songs, tracks on social channels with their friends and family hassle-free. Data is coming realtime from Spotify APi that fetches from your real account.

Bootcamp-Setup

four-gatsby

VSNcipher-Disease-Classifier

Jupyter Notebook

Disney-Clone-ReactJS

Shoe-Store-ReactJS-bootcamp

Project-12E-Virtual-Lolly-using-Gatsby-Netlify-FaunaDB

WebWrap--Fiverr

Fourpercent-Gatsby

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.

Jupyter Notebook

Iris-Flowers-Classification-Deeplearning-project-02

The aim is to classify iris flowers among three species (setosa, versicolor or virginica) from measurements of length and width of sepals and petals. The iris data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. The central goal here is to design a model which makes good classifications for new flowers or, in other words, one which exhibits good generalization.

Jupyter Notebook

React-Node.js-webapp

A MERN-Stack website based on Mongodb, Express, React and Node.js. Created a todo app like web app which perform like adding task and description. Called this web app ExerTracker.

Todo-App-with-Flask

Todo-App-with-Flask with the approch of TDD (TEST DRIVEN DEVELOPMENT), Todo App with Flask and PyMongo making a REST API with Flask and connecting it to MongoDB database and SQL database

python

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace.

Jupyter Notebook

Sonar-Rocks-vs-Mines-Deeplearning-01

Dropout is a technique where randomly selected neurons are ignored during training. They are “dropped-out” randomly. This means that their contribution to the activation of downstream neurons is temporally removed on the forward pass and any weight updates are not applied to the neuron on the backward pass

Jupyter Notebook

React-TodoApp-in-Ethereum-Blockchain

These are decentralized applications that are powered and developed using the Ethereum platform. Ethereum dApps use smart contracts for their logic. They are deployed on the Ethereum network and use the platform's blockchain for data storage.

Project-5-Build-a-Animated-React-Website-which-follows-the-Latest-Trends-like-Animated-Illus

Our eyes are hardwired to notice movement. Historically, it’s helped to keep us alive. And, in 2020, web designers are capitalizing on this default human setting. Animated illustrations are one of the newest trends being used to direct viewer attention within web designs. You’ll see these petite animations on sites all over the web. Some animated illustrations are merely still graphics that jiggle, while other illustrated animations are more thoughtful and complex. When used to their fullest capacity, animated illustrations can tell stories, explain concepts, or help viewers navigate a website.

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!

Google-HashCode-Competition

Hash Code is a team programming competition, organized by Google, for students and professionals around the world. You pick your team and programming language and we pick an engineering problem for you to solve. This year’s contest kicks off with an Online Qualification Round, where your team can compete from wherever you’d like, including from one of our Hash Code hubs. Top teams will then be invited to a Google office for the Final Round.

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)

Jupyter Notebook