âś… Last checked on September 15, 2025 by WebHelperApp
DESCRIPTION
Are you looking to build real-world machine learning projects using Apache Spark?
Do you want to learn how to work with big data, build end-to-end ML pipelines, and apply your skills to a practical use case?
If yes, this course is for you!
In this hands-on project-based course, we will use Apache Spark MLlib to build a House Sale Price Prediction model from scratch. You’ll go beyond theory and actually implement a complete machine learning workflow—covering data ingestion, preprocessing, feature engineering, model training, evaluation, and visualization—all inside Apache Zeppelin notebooks and Databricks.
Whether you are a data engineering beginner, a machine learning enthusiast, or a professional preparing for real-world Spark projects, this course will give you the confidence and skills to apply Spark MLlib to solve real business problems.
What makes this course unique?
- Project-based learning: Instead of just slides, you’ll learn by building an
- Step-by-step environment setup: We’ll guide you through installing Java,
- Hands-on with Zeppelin: Learn how to write, run, and visualize Spark code
- Spark MLlib in action: From RDDs and DataFrames to pipelines and regression
- Performance insights: Learn how to track jobs and optimize performance when
- Flexible workflow: Work locally with Zeppelin or on the cloud with Databricks
What you’ll work on in the project
- Load and explore a real-world house sales dataset
- Use StringIndexer to handle categorical variables
- Apply VectorAssembler to prepare training data
- Train a regression model in Spark MLlib
- Test and evaluate the model with RMSE (Root Mean Squared Error)
- Visualize and interpret model results for business insights
By the end of the course, you will have built a complete Spark ML project and gained skills you can confidently apply in data science, data engineering, or machine learning roles.
If you want to master Spark MLlib through a real-world project and add an impressive machine learning use case to your portfolio, this course is the perfect place to start!
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