Pinned Repositories
demoPipelineWebser
ecom-shopping-cart
This is a build pipeline to deploy react app on remote server.
free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
install-terraform.sh
Handy script for installing Terraform on Linux
javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
javascript-questions
A long list of (advanced) JavaScript questions, and their explanations :sparkles:
kubePipeline
Lobo_reeve_C3_Project
nodebestpractices
:white_check_mark: The Node.js best practices list (November 2022)
oreilly_java_microservices_with_spring_samples
reevelobo's Repositories
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/Lobo_reeve_C3_Project
reevelobo/nodebestpractices
:white_check_mark: The Node.js best practices list (November 2022)
reevelobo/oreilly_java_microservices_with_spring_samples
reevelobo/Photo_Search_Python
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/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/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.