[Udemy] Telecom Customer Churn Prediction in Apache Spark (ML)
What you’ll learn
On this course you’ll implement Spark Machine Studying Venture Telecom Customer Churn Prediction in Apache Spark utilizing Databricks Pocket book (Group version)
Launching Apache Spark Cluster
Course of that knowledge utilizing a Machine Studying mannequin (Spark ML Library)
Discover Apache Spark and Machine Studying on the Databricks platform.
Create a Knowledge Pipeline
Actual-time Use Case
Publish the Venture on Net to Impress your recruiter
Apache Spark fundamental and Scala elementary data is required and SQL Fundamentals
Following browsers on Home windows, Linux or macOS desktop:
Google Chrome (Newest model), Firefox (Newest model), Safari (Newest model), Microsoft Edge* (Newest model)
Web Explorer 11* on Home windows 7, 8, or 10 (with newest Home windows updates utilized)
*You may see efficiency degradation for some options on Microsoft Edge and Web Explorer.
Apache Spark Began as a analysis venture on the College of California in 2009, Apache Spark is at the moment some of the extensively used analytics engines. No surprise: it might probably course of knowledge on an unlimited scale, helps a number of coding languages (you need to use Java, Scala, Python, R, and SQL) and runs by itself or in the cloud, in addition to on different techniques (e.g., Hadoop or Kubernetes).
On this Apache Spark tutorial, I’ll introduce you to some of the notable use circumstances of Apache Spark: machine studying. In lower than two hours, we’ll undergo each step of a machine studying venture that can present us with an correct telecom buyer churn prediction in the top. That is going to be a completely hands-on expertise, so roll up your sleeves and put together to provide it your finest!
Before everything, how does Apache Spark machine studying work?
Earlier than you be taught Apache Spark, that you must understand it comes with a number of inbuilt libraries. Considered one of them is known as MLlib. To place it merely, it permits the Spark Core to carry out machine studying duties – and (as you will notice in this Apache Spark tutorial) does it in breathtaking velocity. On account of its capacity to deal with important quantities of information, Apache Spark is ideal for duties associated to machine studying, as it might probably guarantee extra correct outcomes when coaching algorithms.
Mastering Apache Spark machine studying can be a talent extremely wanted by employers and headhunters: increasingly firms get in making use of machine studying options for enterprise analytics, safety, or customer support. Therefore, this sensible Apache Spark tutorial can change into your first step in direction of a profitable profession!
Study Apache Spark by making a venture from A to Z your self!
I’m a agency believer that one of the simplest ways to be taught is by doing. That’s why I haven’t included any purely theoretical lectures in this Apache Spark tutorial: you’ll be taught every little thing on the way in which and be capable to put it into observe immediately. Seeing the way in which every function works will enable you be taught Apache Spark machine studying completely by coronary heart.
I may even be offering some supplies in ZIP archives. Make sure that to obtain them initially of the course, as you will be unable to proceed with the venture with out it.
And that’s not all you’re getting from this course – are you able to consider it?
Aside from Spark itself, I may even introduce you to Databricks – a platform that simplifies dealing with and organizing knowledge for Spark. It’s been based by the identical workforce that originally began Spark, too. On this course, I’ll clarify easy methods to create an account on Databricks and use its Pocket book function for writing and organizing your code.
After you end my Apache Spark tutorial, you’ll have a completely functioning telecom buyer churn prediction venture. Take the course now, and have a a lot stronger grasp of machine studying and knowledge analytics in just some hours!
Who this course is for:
- Newbie Apache Spark Developer, Bigdata Engineers or Builders, Software program Developer, Machine Studying Engineer, Knowledge Scientist