• views: 108
• date: 5 September 2025
• posted by: 0nelove

Learn how to use Spark ML to build scalable machine learning solutions. Get hands-on with regression, classification, feature engineering, model evaluation, hyperparameter tuning and more, plus learn deep learning integration with Apache Spark.
What you'll learn
Use Spark ML to build scalable machine learning models
Apply regression and classification algorithms
Apply feature engineering techniques at scale
Evaluate model performance with the right metrics
Optimize models through hyperparameter tuning
Integrate deep learning tools with Spark
Handle big data Machine Learning workflows efficiently
Build production-ready Machine Learning pipelines
Machine learning doesn't stop at theory...it needs to scale. In this course, you'll learn how to take ML models to production-level scale using Spark ML.
We'll dive into hands-on techniques for regression and classification, explore smart feature engineering, and show you how to evaluate and tune models for real performance. You'll also get a glimpse of how deep learning can plug into your Spark workflows.
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