Requirements

• Apache Spark basic and Scala fundamental knowledge is required and SQL Basics along with Machine Learning basics
• Following browsers on Windows
• Linux or macOS desktop:
• Google Chrome (Latest version)
• Firefox (Latest version)
• Safari (Latest version)
• Microsoft Edge* (Latest version)
• Internet Explorer 11* on Windows 7
• 8
• or 10 (with latest Windows updates applied)
• *You might see performance degradation for some features on Microsoft Edge and Internet Explorer.
• The following browsers are not supported:
• Mobile browsers.
• Beta
• “preview,” or otherwise pre-release versions of desktop browsers.

Description

Apache Spark Project - Heart Attack and Diabetes Prediction Project in Apache Spark Machine Learning Project (2 mini-projects) for beginners using Databricks Notebook (Unofficial) (Community edition Server)

Are you ready to combine the power of big data analytics with Machine Learning to solve real-world healthcare challenges? This project-based course takes you step-by-step through building Heart Attack and Diabetes Prediction Models using the cutting-edge capabilities of Apache Spark. By working on two high-impact projects, you'll not only deepen your technical skills but also create solutions that demonstrate your ability to turn data into life-saving insights.

Through hands-on experience with Apache Spark and MLlib, this course equips you with the expertise to handle large healthcare datasets, implement Machine Learning pipelines, and deliver actionable predictions. Whether you’re looking to advance your career in data science, big data, or healthcare analytics, this course positions you as a sought-after professional.

What You’ll Learn:

• 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.

Real-World Benefits:

• Industry-Relevant Skills: Gain expertise in solving real-world healthcare challenges using big data and AI.

• Portfolio-Worthy Projects: Build two impactful projects to showcase your skills to potential employers.

• Career-Ready Knowledge: Position yourself as a big data and ML professional with a focus on healthcare applications.

Who Should Enroll:

• Data Scientists & Machine Learning Engineers eager to build real-world projects that make a difference.

• Big Data Professionals looking to integrate Machine Learning into their Spark workflows.

• Healthcare Analysts & IT Experts interested in leveraging big data for predictive analytics in healthcare.

In this Data science Machine Learning project, we will create

1) Heart Disease Prediction

2) Diabetes Prediction

using a few algorithms of the predictive models.

• Explore Apache Spark and Machine Learning on the Databricks platform.

• Launching Spark Cluster

• Process that data using a Machine Learning model (Spark ML Library)

• Hands-on learning

• Real time Use Case

• Create a Data Pipeline

• Publish the Project on Web to Impress your recruiter

• Graphical  Representation of Data using Databricks notebook.

• Transform structured data using SparkSQL and DataFrames

• Data exploration using Apache Spark

  
  

1) Heart Disease Prediction using Decision Tree Classification Model

2) Diabetes Prediction using Logistic Regression Model and One-vs-Rest classifier (a.k.a. One-vs-All) Model

A Real time Use Case on Apache Spark

About Databricks:

Databricks lets you start writing Spark ML code instantly so you can focus on your data problems.

Take the leap into the future of healthcare analytics. Enroll now to master Apache Spark and MLlib while building projects that save lives and drive your career forward!

Who this course is for:

• Beginner Apache Spark Developer
• Bigdata Engineers or Developers
• Software Developer
• Machine Learning Engineer
• Data Scientist
• Data Scientists & Machine Learning Engineers eager to build real-world projects that make a difference.
• Big Data Professionals looking to integrate Machine Learning into their Spark workflows.
• Healthcare Analysts & IT Experts interested in leveraging big data for predictive analytics in healthcare.