[GET] Heart Attack and Diabetes Prediction Project in Apache Spark

[mindpower]

Heart Attack and Diabetes Prediction Project in Apache Spark
Disease Prediction 2 Projects in Apache Spark(ML) for beginners using Databricks Notebook (Unofficial) Community edition
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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 and 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 and 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



https://www.udemy.com/course/disease-prediction-2-mini-projects-in-apache-sparkml/?couponCode=94134E01ADB7282F0FEA

Enjoy!

[bluenose10]

Thanks for the share, repped..