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 worki