Data Engineering Zero to Hero: Spark MLlib Regression | Part 9

Welcome to Part 9 of the Data Engineering Zero to Hero series! This session explores Spark MLlib, focusing on building and applying regression models for big data analytics.

📌 What You'll Learn:

Introduction to Spark MLlib: Understand the machine learning capabilities of Spark's MLlib library.
Regression Analysis: Dive into linear regression and other regression techniques for predictive modeling.
Model Training & Evaluation: Learn how to train regression models on large datasets and evaluate their performance.
Hands-On Examples: Practical demonstrations of building and implementing regression models using PySpark MLlib.
📚 Who Should Watch:
Perfect for data engineers, analysts, and machine learning enthusiasts who want to integrate predictive modeling into their big data workflows.

🎥 Watch now and unlock the power of Spark MLlib for regression tasks