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Spark Machine Learning Project (House Sale Price Prediction) for beginner using Databricks Notebook (Unofficial)
Language: English
Instructors: Bigdata Engineer
Why this course?
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?
What you’ll work on in the project
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!
What will students learn in your course?
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