Machine Learning with Apache Spark

Wishlist Share
Share Course
Page Link
Share On Social Media

What Will You Learn?

  • Describe ML, explain its role in data engineering, summarize generative AI, discuss Spark's uses, and analyze ML pipelines and model persistence.
  • Evaluate ML models, distinguish between regression, classification, and clustering models, and compare data engineering pipelines with ML pipelines.
  • Construct the data analysis processes using Spark SQL, and perform regression, classification, and clustering using SparkML.
  • Demonstrate connecting to Spark clusters, build ML pipelines, perform feature extraction and transformation, and model persistence.

Course Content

Module 1: Get Started with Machine Learning

  • Course Introduction
    00:00
  • Introduction to Machine Learning for Everyone
    00:00
  • Role of Data Engineering in Machine Learning
    00:00
  • Machine Learning Model Lifecycle
    00:00
  • Supervised vs Unsupervised Learning
    00:00
  • Regression
    00:00
  • Classification
    00:00
  • Evaluating Machine Learning Models
    00:00
  • Clustering
    00:00
  • Generative AI Overview and Use Cases
    00:00
  • Generative AI Applications
    00:00

4 readings

2 assignments

5 app items

Module 2: Machine Learning with Apache Spark

2 readings

2 assignments

4 app items

Module 3: Data Engineering for Machine Learning using Apache Spark

2 readings

2 assignments

5 app items

1 plugin

Module 4: Final Project

Student Ratings & Reviews

No Review Yet
No Review Yet
error: Content is protected !!
Select your currency
AED United Arab Emirates dirham