Machine Learning with Apache Spark 3.0 using Scala

Course Overview

• Course Title: Machine Learning with Apache Spark 3.0 using Scala
• Instructor: Bhavesh Bhadricha
• Target Audience:
  • Data Scientists & Machine Learning Engineers
  • Big Data Professionals
  • Developers & IT Experts
• Prerequisites:
  • Some programming experience
  • Scala fundamental knowledge
  • Fundamental Spark Knowledge

Curriculum Highlights

• Key Topics Covered:
  • Overview
  • What is Spark ML
  • Types of Machine Learning
  • Steps Involved in the Machine Learning Program
  • Basic Statistics
  • Data Sources
  • Pipelines
  • Extracting, Transforming, and Selecting Features
  • Classification and Regression
  • Clustering
• Key Skills Learned:
  • Machine Learning Fundamentals
  • Scalable Model Building
  • Real-World Projects
  • Big Data Integration
  • Hands-on Learning
  • Real-time Use Case
  • Apache Spark and Machine Learning on the Databricks Platform
  • Launching Spark Cluster
  • Creating a Data Pipeline
  • Processing Data Using a Machine Learning Model (Spark ML Library)

Course Format

• Duration: 8.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 2 articles
  • 8 downloadable resources
  • Access on mobile and TV
  • Certificate of completion