Heart Attack and Diabetes Prediction Project in Apache Spark

Course Overview

• Course Title: Heart Attack and Diabetes Prediction Project in Apache Spark
• Instructor: Bigdata Engineer
• Target Audience:
  • Data Scientists & Machine Learning Engineers
  • Big Data Professionals
  • Healthcare Analysts & IT Experts
• Prerequisites:
  • Apache Spark basic and Scala fundamental knowledge
  • SQL Basics
  • Machine Learning basics
  • Compatible browsers: Google Chrome, Firefox, Safari, Microsoft Edge, Internet Explorer 11

Curriculum Highlights

• Key Topics Covered:
  • Data Preprocessing
  • Machine Learning Pipelines
  • Heart Attack Risk Prediction
  • Diabetes Diagnosis
  • Performance Optimization
  • Launching Apache Spark Cluster
  • Creating a Data Pipeline
  • Real-time Use Case
  • Publishing the Project on Web
  • Graphical Representation of Data
  • Transforming structured data using SparkSQL and DataFrames
  • Data exploration using Apache Spark
• Key Skills Learned:
  • Handle large-scale healthcare datasets
  • Build scalable ML workflows
  • Develop models for heart attack risk prediction
  • Create classification models for diabetes diagnosis
  • Tune and optimize Spark jobs
  • Hands-on learning with Databricks Notebook
  • Real-time use case implementation

Course Format

• Duration: 3 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 2 articles
  • 3 downloadable resources
  • Access on mobile and TV
  • Certificate of completion