YoVDO

How to Build Data Pipelines for ML Projects with Python Code

Offered By: Shaw Talebi via YouTube

Tags

Data Engineering Courses Machine Learning Courses Python Courses Data Transformation Courses Data Extraction Courses Data Pipelines Courses ETL Courses

Course Description

Overview

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Learn how to build data pipelines for machine learning projects in this 23-minute video tutorial. Explore key concepts in data engineering, including the differences between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines. Discover techniques for extracting, transforming, and loading data, as well as orchestrating pipeline workflows. Follow along with a practical example using Python code to pull transcripts from YouTube videos. Gain insights into full-stack data science and prepare for the next steps in your machine learning journey.

Syllabus

Introduction -
Data Engineering -
Data Pipelines -
2 Types of Pipelines ETL vs ELT -
Extract -
Transform -
Load -
Orchestration -
Example Code: ETL of My YouTube Video Transcripts -
What's Next? -


Taught by

Shaw Talebi

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