reevelobo

AzureBicepScript

bookMyConsultation_backend

Calculator

Based on basic frontend technologies.

ConsultationBookingUI

Dashboard

An admin dashboard built with Next.js and Tailwind css

demoPipelineWebser

ecom-shopping-cart

This is a build pipeline to deploy react app on remote server.

flatmateBill_Python_webApp

An app that gets as input the amount of a bill for a particular period and the days that each of the flatmates stayed in the house for that period and returns how much each flatmate has to pay. It also generates a PDF report stating the names of the flatmate, the perion, and howmch each of them has to pay.

Nextjs-Dashboard

Sign_Board_detection

So the first thing we had to do is to resize all the images to 32x32x3 and read them into a numpy array as training features. At the same time, we created another numpy array with labels of each image. We needed to do the same for testing images. However the labels for testing images are stored as ClassId in test.csv with paths of that image. So I use pandas to read the csv file, load the image from the path and assign the corresponding ClassId. Here is a comparison between an RGB and grayscale image. The grayscale image still retains its features and can be recognized but with much smaller size. From the training set, I randomly spitted 20% as a validation set for use during the process of model training. The model accuracy of training and validation will give us information about underfitting or overfitting.

reevelobo/flatmateBill_Python_webApp

An app that gets as input the amount of a bill for a particular period and the days that each of the flatmates stayed in the house for that period and returns how much each flatmate has to pay. It also generates a PDF report stating the names of the flatmate, the perion, and howmch each of them has to pay.

reevelobo/AzureBicepScript

reevelobo/bookMyConsultation_backend

reevelobo/Calculator

Based on basic frontend technologies.

reevelobo/ConsultationBookingUI

reevelobo/Dashboard

An admin dashboard built with Next.js and Tailwind css

reevelobo/demoPipelineWebser

reevelobo/ecom-shopping-cart

This is a build pipeline to deploy react app on remote server.

reevelobo/free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

reevelobo/install-terraform.sh

Handy script for installing Terraform on Linux

reevelobo/javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

reevelobo/javascript-questions

A long list of (advanced) JavaScript questions, and their explanations :sparkles:

reevelobo/kubePipeline

reevelobo/Nextjs-Dashboard

reevelobo/nodebestpractices

:white_check_mark: The Node.js best practices list (November 2022)

reevelobo/oreilly_java_microservices_with_spring_samples

reevelobo/project-based-learning

Curated list of project-based tutorials

reevelobo/public-apis

A collective list of free APIs

reevelobo/Sign_Board_detection

So the first thing we had to do is to resize all the images to 32x32x3 and read them into a numpy array as training features. At the same time, we created another numpy array with labels of each image. We needed to do the same for testing images. However the labels for testing images are stored as ClassId in test.csv with paths of that image. So I use pandas to read the csv file, load the image from the path and assign the corresponding ClassId. Here is a comparison between an RGB and grayscale image. The grayscale image still retains its features and can be recognized but with much smaller size. From the training set, I randomly spitted 20% as a validation set for use during the process of model training. The model accuracy of training and validation will give us information about underfitting or overfitting.

reevelobo/java-petclinic-simplified

Java Petclinic Simplified

reevelobo/MLTradingBot

Build a trader bot which looks at sentiment of live news events and trades appropriately.

reevelobo/mobile_cart

reevelobo/portfolio

reevelobo/Resturant-Finder

reevelobo/ScriptingWithPython

Repo contain a introduction various python libraries and APIs.

reevelobo/tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

reevelobo/thorse

THorse is a RAT (Remote Administrator Trojan) Generator for Windows/Linux systems written in Python 3.

reevelobo/tic-tac-toe

reevelobo/upgrad-eshop

Upgrad-Ecommerce-WebSite-Frontend

reevelobo/WebCam_photoShare

Ann app that Starts the computer webcam, lets the user capture a photo and upload the photo to the web and creates a sharable link.