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Udacity ML DevOps Nanodegree Program

First project: Customer Churn with a Clean Code Project (Clean Code Principles) Second project: Build an ML Pipeline for Short-term Rental Prices in NYC (Bulding a Reproducible Workflow) (Final project link: https://github.com/tugrulguner/nd0821-c2-build-model-workflow-starter) Third project: Deploying a Machine Learning Model on Heroku with FastAPI (Deploying Scalable ML Pipeline in Production)

Functions can be found in Project Folder

Author: Tugrul Guner Date: 25 November 2021

Project 2 contains Pipeline section, which I used MLflow and Weight & Biases to create artifacts that run by MLflow

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This is the introductory project for DevOps Programme

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