Disease Prediction 2 Projects in Apache Spark(ML) for beginners using Databricks Notebook (Unofficial) Community edition
What you will learn
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In this course you will implement Spark Machine Learning Project 2 Mini Projects in Apache Spark using Databricks Notebook (Community edition server)
Launching Apache Spark Cluster
Process that data using a Machine Learning model (Spark ML Library)
Hands-on learning
Create a Data Pipeline
Real-time Use Case
Publish the Project on Web to Impress your recruiter
Data Preprocessing: Handle messy, large-scale healthcare datasets and prepare them for analysis.
Machine Learning Pipelines: Build scalable ML workflows using Apache Spark’s MLlib for real-time predictions.
Heart Attack Risk Prediction: Develop a model to predict heart attack risks based on patient data, enabling early interventions.
Diabetes Diagnosis: Create a classification model to predict diabetes, supporting improved healthcare outcomes.
Performance Optimization: Learn to tune and optimize Spark jobs for efficiency and scalability in production.
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