Last Updated on September 3, 2025 by GeeksGod

Course : Spark Machine Learning Project (House Sale Price Prediction)

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 end-to-end project on house price prediction.Step-by-step environment setup: We’ll guide you through installing Java, Apache Zeppelin, Docker, and Spark on both Ubuntu and Windows.Hands-on with Zeppelin: Learn how to write, run, and visualize Spark code inside Zeppelin notebooks.Spark MLlib in action: From RDDs and DataFrames to pipelines and regression models, you’ll gain practical experience in Spark’s machine learning library.Performance insights: Learn how to track jobs and optimize performance when working with large datasets.Flexible workflow: Work locally with Zeppelin or on the cloud with Databricks free account.

What you’ll work on in the project

Load and explore a real-world house sales datasetUse StringIndexer to handle categorical variablesApply VectorAssembler to prepare training dataTrain a regression model in Spark MLlibTest 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!