Abhishek Singh's starred repositories
speech_recognition
speech_recognition
openapi-generator
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
Free-Certifications
A curated list of free courses & certifications.
NodeJS-Learning
This repo contains all my learning related to NodeJS, ExpressJS and MongoDB.
the-algorithm
Source code for Twitter's Recommendation Algorithm
introduction-to-github
Get started using GitHub in less than an hour.
go-booking_app-CLI
Creating a ticket Booking App Command Line Interface(CLI) using Go language.
SpringBoot
Creating REST FULL API Using Spring-Boot, and fetching data from the Data Base, implementing the CURD API functionality for the Application.
click-and-drag
Click and Drag Functionality using JavaScript
JS-CSS-CLOCK
Implementing the JavaScript logic for CSS Clock.
Flex-Panel-Gallery
Flex Pane Gallery
Rock-Paper-Scissors
Implementing Rock Paper Scissors Game logic with JavaScript and building UI.
countdown-timer
A Countdown Timer project using html, css and javascript
QuickNews-ReactJS_App
React application for quickNews with multiple page Application and news of different domain.
gym-exercises-app
GYM Exercises Application full stack MERN App and fetching data with API form RapidAPI.
smrtiya-mern-app
Smrtiyan is memories App with features like Create, Read, Update, Delete(CURD Application) with Sign-in. Smrtiyan(Sanskrit Synonymous of Memories) Users can post memory with photo, title, tags, and with description.
javascript-programming-learning
This repo contains all my learning related to JavaScript concepts and fundamental of JavaScript. JavaScript Programming, JavaScript Fundamentals and JavaScripts-ES6 concepts
java_dsa-basic-to-advance
This repo contains all my learning related to fundamentals of Java Programming language, and the Data Structures and Algorithm. Many of the Classical problems solution, and important algorithms explanation with algorithms problem examples solution. Java Data Structure and Algorithms
Diseases-Prediction-ML-Model
Developed an effective Machine Learning Model for predicting Diabetic and Heart Disease with the help of trained ML Model. It involves building a Support Vector ML model for Diabetic and Logistic Regression model for Heart Disease prediction. Achieved accuracy of 80.55% to predict Diabetic and 82.48% accuracy for Heart Disease model.