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coding-bootcamp

Some really important examples to brush up your coding skills.

convertimagedetailtoimagedefinition

course-certified-solutions-architect-associate

AWS Certified Solutions Architect - Associate

csaprep

Sharing my experiences to help around.

customerdemo

This is a JAVA Spring MVC project ,Its a sample project of customer inventory management

data-structures

A collection of powerful data structures

datastructures

designpatterns

dev

developerfolio

🚀 Software Developer Portfolio Template that helps you showcase your work and skills as a software developer.

devops-the-hard-way-aws

This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS

dsa-library

Collection of all important Data Structures and algorithms.

git-demo

hackerranksolutions

Solutions of Some HackerRank Problems

hashnode

instagram-clone-mern-stack

mechanicdemo

mern_login

Login page with user registration and authentication. Created using the MERN Stack.

parkinsons-detection-using-machine-learning

Parkinson’s disease can be detected using speech. The phonation is the most affected in speech i.e. the sound when we pronounce the vowels. We have used the database of the speech samples containing the phonation from the affected and healthy people. Various database of the speech sample is available from JASA (Journal of Acoustic Society of America), UCI. Speech signals or the voice samples have been taken from the standard UCI voice dataset which consists of voice samples of people. The samples of healthy people are also collected for the comparative study. The Test data belongs to 56 subjects. During the collection of this dataset, 56 people are asked to say only the sustained vowels 'a' and 'o' three times respectively. Total of 336 recordings are obtained from the repository. In the training phase the pre-processing of these signals is done for feature extraction by PRAAT software. The features extracted are jitter, shimmer, NHR, HNR, mean and median pitch, number of pulses and periods, minimum and maximum period, SD, SD of period, number and degree of voice breaks. All these features differ from patient to patient depending upon the fact how much Parkinson’s disease has progressed. After extracting all the features we will do dimensionality reduction of the features using particle swarm optimization(PSO),In this optimization method it works like swarm particle and reduce the features selection to a minimum, optimization involves in achieving better result in less computation, after selection of the features, The features are used to train the SVM classifier and the model is trained.

personal-website

Code that'll help you kickstart a personal website that showcases your work as a software developer.

serviceyourvehicle

sgpa-calculator

SGPA Calculator for SPPU students in java

stackbit-theme-fresh

Fresh a personal theme with a blog for Stackbit

the-book-of-secret-knowledge

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

under-water-communication

using VLC as a transmitter and using image processing to decode it

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