Name: Mahfuzur Rahman
Type: User
Bio: I am an ambitious Software Programmer with over 5+ years of experience in the .Net environment with proven knowledge. Also, have knowledge about DevOps.
Location: Bonner logs weg 28,53123 Bonn
Mahfuzur Rahman's Projects
This project implements continous integration and continous delivery pipeline for a Python machine learning API built with the Flask web framework. And the application is deployed into Azure. The pre-trained sklearn model used would predict housing prices in Boston according to several features, such as average rooms in a home and data about highway access, teacher-to-pupil ratios, and so on. If you're curious, you can read more about the data, which was initially taken from Kaggle, on the data source site. This project also demonstrates operationalization of the serverless machine learning app (app.py) that serves out predictions (inference) about housing prices through API calls. This project could be extended to any pre-trained machine learning model, such as those for image recognition and data labeling.
Demonstration of writing clean code
Datasets for Knowledge Graph Completion with textual information about the entities
CI/CD training for AzureDevOps
Project repository for Learning DevOps
Event centric knowledge graph from multiple datases
Demo project to ensure IaC quality releases
Capstone project for Udacity's Cloud DevOps with Azure Nanodegree program Ensuring Quality Releases.
Udacity - Project: Building a CI/CD pipeline
Test Project to Analyse JSON data
Loop detector on triplet formatted data
Config files for my GitHub profile.
Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.
Project 4 Tech trends project of Udacity DevOps nanodegree
Sample code for the Flask tutorial in the VS Code documentation