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Are you ready to take your first steps into Machine Learning and Big Data? This hands-on project-based course, ‘House Sale Price Prediction for Beginners using Apache Spark and Apache Zeppelin’, offers the perfect introduction to the world of data science. Here, you’ll learn to build a comprehensive machine learning pipeline that predicts housing prices using real-world datasets.
Throughout the course, you will dive deep into Apache Spark—both Scala and PySpark—while utilizing the powerful visualization tools of Apache Zeppelin. You’ll learn to explore, prepare, model, and evaluate your data step-by-step, gaining practical experience in one of the most sought-after domains today. Designed for data enthusiasts, students, and aspiring data engineers/scientists, this course prepares you for the increasing demands of Big Data and Machine Learning.
By the end of this course, you’ll have executed a complete machine learning project from scratch. You’ll be equipped not only with foundational skills to advance in Spark and data science but also with a compelling project to display to potential employers. Leverage your newfound knowledge to impress recruiters with real-world applications, transforming structured data using Spark SQL and DataFrames.
What you will learn:
- Implement Spark Machine Learning pipelines for predictive analysis
- Create and manage a data pipeline using Apache Spark
- Visualize data and model performance using tools like Matplotlib and Seaborn
Course Content:
- Sections: 9
- Lectures: 62
- Duration: 4h 55m
Requirements:
- Basic knowledge of Apache Spark and Scala
- SQL Fundamentals
Who is it for?
- Beginner Apache Spark Developer
- Big Data Engineers or Developers
- Software Developers
- Machine Learning Engineers
- Data Scientists
- Real Estate Professionals and Analysts
- Big Data & IT Professionals
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Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!
👉 Don’t miss this coupon! – Cupón 866A1B822CBD9475DCD1
