Machine Learning with Apache Spark 3.0 using Scala with Examples and 4 Projects
What you will learn
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Fundamental knowledge on Machine Learning with Apache Spark using Scala
Learn and master the art of Machine Learning through hands-on projects, and then execute them up to run on Databricks cloud computing services
You will Build Apache Spark Machine Learning Projects (Total 4 Projects)
Explore Apache Spark and Machine Learning on the Databricks platform.
Launching Spark Cluster
Create a Data Pipeline
Process that data using a Machine Learning model (Spark ML Library)
Hands-on learning
Real-time Use Case
Machine Learning Fundamentals: Understand the core concepts of supervised, unsupervised, and recommendation algorithms with practical applications.
Scalable Model Building: Learn how to leverage Spark MLlib to preprocess data, train models, and optimize performance on large-scale datasets.
Real-World Projects: Gain hands-on experience by solving real-world problems, from predictive analytics to recommendation systems.
Big Data Integration: Discover how to integrate Machine Learning workflows seamlessly into your big data pipelines for maximum efficiency.
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