[ FreeCourseWeb.com ] Telecom Customer Churn Prediction in Apache Spark (ML)
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 15 lectures (1h 44m) | Size: 642.2 MB
Learn Apache Spark machine learning by creating a Telecom customer churn prediction project using Databricks Notebook
What you'll learn:
In this course you will implement Spark Machine Learning Project Telecom Customer Churn Prediction 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
Explore Apache Spark and Machine Learning on the Databricks platform.
Create a Data Pipeline
Real-time Use Case
Publish the Project on Web to Impress your recruiter
Graphical Representation of Data using Databricks notebook.
Transform structured data using SparkSQL and DataFrames
Requirements
Apache Spark basic and Scala fundamental knowledge is required and SQL Basics
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Internet Explorer 11* on Windows 7, 8, or 10 (with latest Windows updates applied)
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The following browsers are not supported:
Mobile browsers.
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Description
Apache Spark Started as a research project at the University of California in 2009, Apache Spark is currently one of the most widely used analytics engines. No wonder: it can process data on an enormous scale, supports multiple coding languages (you can use Java, Scala, Python, R, and SQL) and runs on its own or in the cloud, as well as on other systems (e.g., Hadoop or Kubernetes).
In this Apache Spark tutorial, I will introduce you to one of the most notable use cases of Apache Spark: machine learning. In less than two hours, we will go through every step of a machine learning project that will provide us with an accurate telecom customer churn prediction in the end. This is going to be a fully hands-on experience, so roll up your sleeves and prepare to give it your best!
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