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Telecom Customer Churn Prediction in Apache Spark (ML)

Description

Apache Spark Began as a analysis undertaking on the College of California in 2009, Apache Spark is at present some of the extensively used analytics engines. No marvel: it will probably course of information on an infinite 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 programs (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 undertaking that can present us with an correct telecom buyer churn prediction in the top. That is going to be a totally hands-on expertise, so roll up your sleeves and put together to offer it your greatest!

In the beginning, how does Apache Spark machine studying work?

Earlier than you be taught Apache Spark, it’s good to realize it comes with a number of inbuilt libraries. One among them 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 potential to deal with important quantities of knowledge, Apache Spark is ideal for duties associated to machine studying, as it will probably guarantee extra correct outcomes when coaching algorithms.

Mastering Apache Spark machine studying will also be a talent extremely wanted by employers and headhunters: increasingly corporations get in making use of machine studying options for enterprise analytics, safety, or customer support. Therefore, this sensible Apache Spark tutorial can turn into your first step in direction of a profitable profession!

Study Apache Spark by making a undertaking from A to Z your self!

I’m a agency believer that one of the best 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 all the pieces on the best way and be capable to put it into apply right away. Seeing the best way every function works will assist you be taught Apache Spark machine studying totally by coronary heart.

I can even be offering some supplies in ZIP archives. Be sure that to obtain them originally of the course, as you won’t be able to proceed with the undertaking with out it.

And that’s not all you’re getting from this course – are you able to imagine it?

Other than Spark itself, I can even introduce you to Databricks – a platform that simplifies dealing with and organizing information for Spark. It’s been based by the identical staff that originally began Spark, too. On this course, I’ll clarify how you can 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 totally functioning telecom buyer churn prediction undertaking. Take the course now, and have a a lot stronger grasp of machine studying and information analytics in just some hours!

Spark Machine Studying Undertaking (Telecom Customer Churn Prediction) for rookies utilizing Databricks Pocket book (Unofficial) (Group version Server)

On this Information Science Machine Studying undertaking, we’ll create Telecom Customer Churn Prediction Undertaking utilizing Classification Mannequin Logistic Regression, Naive Bayes and One-vs-Relaxation classifier few of the predictive fashions.

  • Discover Apache Spark and Machine Studying on the Databricks platform.

  • Launching Spark Cluster

  • Create a Information Pipeline

  • Course of that information utilizing a Machine Studying mannequin (Spark ML Library)

  • Arms-on studying

  • Actual time Use Case

  • Publish the Undertaking on Net to Impress your recruiter

  • Graphical  Illustration of Information utilizing Databricks pocket book.

  • Rework structured information utilizing SparkSQL and DataFrames

Telecom Customer Churn Prediction a Actual time Use Case on Apache Spark

About Databricks:

Databricks enables you to begin writing Spark ML code immediately so you may focus in your information issues.


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