HomeCoursesBuilding a Machine Learning Pipeline from Scratch
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14h
Building a Machine Learning Pipeline from Scratch
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Learn about ML pipeline development, delve into best practices, discover advanced Python concepts, and explore testing methodologies to elevate your software engineering skills and career prospects.
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Overview
Machine learning (ML) has matured into a mainstream development activity, and data scientists are expected to be able to write production-grade training pipelines. This course will provide you with a foundation in ML pipeline development guided by best practices in software engineering.
You’ll start by learning about code organization, style, and conceptual ideas, such as topological sorting of directed acyclic graphs. You’ll dive into the hands-on development of an ML pipeline. You’ll learn some advanced ...Show More
Machine learning (ML) has matured into a mainstream development activity, and data scientists are expected to be able to write p...Show More
WHAT YOU'LL LEARN
An understanding of what constitutes as a machine learning training pipeline
Hands-on experience building a machine learning pipeline in Python
Familiarity with advanced Python concepts, such as abstract base classes and mixins
An understanding of software engineering best practices, including code style, documentation, and logging
A working knowledge of unit testing in Python
An understanding of what constitutes as a machine learning training pipeline
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TAKEAWAY SKILLS
Python
Machine Learning
Data Science
Data Pipeline Engineering
Machine learning paradigms
Python 3
Python Programming
Unit Testing
Machine Learning Fundamentals
Machine learning fundamentals
Data Manipulation
Content
42 Lessons7 Quizzes1 Assessment
1.
Introduction
1 Lessons
Get familiar with building and deploying a machine learning pipeline from scratch.
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