Heart Attack and Diabetes Prediction Project in Apache Spark

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz Language: English | VTT | Size: 1.00 GB | Duration: 3 hours What you'll learn 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 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) 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. Who this course is for: Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

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