Udacity

Building a Reproducible Model Workflow

Engineering and Technology

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Short Description

Learn to be more productive through ML projects that require reproducible workflow best practices.

Long Description

In the course Building a Reproducible Model Workflow on Udacity, you will learn the fundamentals of MLOps and how to create a machine learning pipeline. The course covers various topics such as versioning data and artifacts, performing exploratory data analysis, cleaning and preprocessing data, validating data using pytest, tracking experiments with W&B, choosing the best-performing model, exporting the model as an inference artifact, and testing the final inference artifact. Additionally, you will learn about releasing pipeline code and different options for model deployment. The course project involves building an ML pipeline to estimate the typical price for short-term rental properties in NYC, considering new data is received every week. The pipeline covers data fetching, validation, segregation, training, validation, testing, and release, and can be reused for future data deliveries.

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Course Details

Duration
4 weeks
Difficulty
Advanced
Format
Short Course
Price
USD399.00
Course Link
More Information
Udacity
Udacity
Description
Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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