madindo's starred repositories
GolangTraining
Training for Golang (go language)
nodebestpractices
:white_check_mark: The Node.js best practices list (July 2024)
google-adsense
Google AdSense module for Nuxt.js
nuxt-ssr-cache
Cache middleware for nuxt's SSR rendering.
test-driven-rspec
A 7-episode screencast series on using TDD with RSpec
rspec-blog-example
Rails blog application to show example code for my series on writing tests in rspec
Laravel-Vue-Login-Register
Demo-project of Laravel Login/Register via API from Vue.js client
laravel-impersonate
Laravel Impersonate is a plugin that allows you to authenticate as your users.
laravel-nuxt-authentication
Local and social authentication boilerplate using Laravel + Nuxt
nuxt-laravel-passport-example
Nuxt.js app as a first-party client powered by Laravel Passport API
coding-interview-university
A complete computer science study plan to become a software engineer.
android-developer-roadmap
Android Developer Roadmap 2020
Flutter-Course-Resources
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
UltimateAndroidReference
:rocket: Ultimate Android Reference - Your Road to Become a Better Android Developer
ML-deeplearning-course
Repository for the "Deep Learning Specialization" provided by deeplearning.ai for completing module assignments. The courses can be accessed here https://www.coursera.org/specializations/deep-learning
Automated-Job-Resume-Matching-Solution
According to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.
laravel-onesignal
OneSignal Push Notifications for Laravel
How-To-Secure-A-Linux-Server
An evolving how-to guide for securing a Linux server.
laravel-pwa
Looks like an app, feels like an app, but IS NOT an app.
valuestore
Easily store some values