Little HTML/JavaScript project where I used dockers to run the web service. After pushing to the master branch, Travis-CI will test and deploy the docker into AWS Elastic Beanstalk
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Updated
Jul 24, 2020 - JavaScript
Little HTML/JavaScript project where I used dockers to run the web service. After pushing to the master branch, Travis-CI will test and deploy the docker into AWS Elastic Beanstalk
An intro into Dev Ops, CICD and other relevant topics
API to colaborate universal-meche-ui
Dockers & Kubernetes practices: fastest growing project in the history of open Source software, after Linux.
A distributed key value store implementation using dockers.
ML Projects and Experience in Industry and Academia.
The project was built using HTML, CSS, JavaScript for the frontend, and MySQL for the backend. Below, I have outlined the key aspects of the project, including the code implementation, challenges encountered, and solutions provided.
This project gave an overview of the Stock marker highlights for Exxon Mobil Company.
Diamond Price Prediction with MLOps: A comprehensive end-to-end project for predicting diamond prices using machine learning and MLOps techniques.
Dockerfiles for deep learning semantic segmentation projects, make my life easier - -
Generic Linux image with Kubernetes
The purpose of this project is to predict the price of Airbnb rentals based on various features of the properties listed on the platform. The code in this repository is written in Python and uses several machine learning algorithms to train and test a predictive model.
This repository serves as a comprehensive reference for data science enthusiasts, learners, and practitioners. It is a clone of the original "The-Grand-Complete-Data-Science-Materials by Krishnaik" repository, providing access to valuable resources, code samples, and projects curated by Krishnaik, a respected figure in the data science community.
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