Download Datacamp – Introduction to MLflow 2023-11

Description

Introduction to MLflow, MLflow training course published by Datacamp Academy. Managing the end-to-end lifecycle of a machine learning application can be a daunting task for data scientists, engineers, and developers. Machine learning applications are complex and have a proven track record of being difficult to track, repeatable, and problematic to deploy. In this lesson, you’ll learn what MLflow is and how it tries to simplify machine learning lifecycle problems like tracking, repeatability, and scalability. After learning MLflow, you will have a better understanding of how to overcome the complexities of building machine learning applications and how to go through the different stages of the machine learning lifecycle.
You will learn how to trace models, metrics, and parameters with MLflow tracing, package repeatable ML code using MLflow projects, create and deploy models using MLflow models, and version control and save models using model registration. will check As you progress through this course, you’ll learn best practices for using MLflow to script models, how to evaluate models, add customization to models, and how to automate training execution. This course prepares you for success in managing the next machine learning application lifecycle. Next, we will discuss the four main parts that make up the MLflow platform.

What you will learn

• MLflow models
• The concept of model registration in MLflow
• Valuable knowledge on how to simplify data science code for reusability and repeatability

Introduction to MLflow course specifications

• Publisher: Datacamp
• teacher : Weston Bassler
• English language
• Education level: all levels
• Number of courses: 4
• Training duration: 4 hours and 0 minutes

Introduction to MLflow chapters

Course prerequisites

• Supervised learning with scikit-learn
• MLOps Concepts

Pictures

Sample video

Installation guide

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English subtitle

Quality: 720p

download link

Download – 97 MB

File(s) password: www.downloadly.ir

Size

97 MB