Illness Prediction 2 Tasks in Apache Spark(ML) for inexperienced persons utilizing Databricks Pocket book (Unofficial) Group version
What you’ll study
On this course you’ll implement Spark Machine Studying Challenge 2 Mini Tasks in Apache Spark utilizing Databricks Pocket book (Group version server)
Launching Apache Spark Cluster
Course of that information utilizing a Machine Studying mannequin (Spark ML Library)
Palms-on studying
Create a Information Pipeline
Actual-time Use Case
Publish the Challenge on Internet to Impress your recruiter
Information Preprocessing: Deal with messy, large-scale healthcare datasets and put together them for evaluation.
Machine Studying Pipelines: Construct scalable ML workflows utilizing Apache Spark’s MLlib for real-time predictions.
Coronary heart Assault Danger Prediction: Develop a mannequin to foretell coronary heart assault dangers primarily based on affected person information, enabling early interventions.
Diabetes Prognosis: Create a classification mannequin to foretell diabetes, supporting improved healthcare outcomes.
Efficiency Optimization: Be taught to tune and optimize Spark jobs for effectivity and scalability in manufacturing.
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