Build Apache Spark Machine Learning and Analytics Projects (Total 5 Projects) on Databricks Environment useful for Bigdata Engineers
Learn the latest Big Data Technology Tool– Apache Superset! And learn to use it with one of the most popular way!
One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Superset! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Apache Superset to solve their big data problems!
Master Machine Learning Project Building with Apache Spark.
Build Apache Spark Machine Learning Project for eCommerce Domain
Build Apache Spark Machine Learning Project for Banking Domain
Prediction Shopper Purchase Intention Project for eCommerce Domain
Build Apache Spark Analytics Project WebServer
Predictive Analytics Project
Real–time Prediction of online shoppers’ purchasing intention Project using Apache Spark Machine Learning Models a Data Pipeline Creation.
What is this course about?
This course covers all the fundamentals about Apache Spark Machine Learning Project with Scala and teaches you everything you need to know about developing Spark Machine Learning applications using Scala, the Machine Learning Library API for Spark. At the end of this course, you will gain in–depth knowledge about Spark Machine Learning and general big data manipulation skills to help your company to adapt Spark Machine Learning for building Machine Learning Model processing pipelines and data analytics applications. This course will be absolutely critical to anyone trying to make it in data science today.
Specification: Build Spark Machine Learning and Analytics (5 Projects)
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Price | $9.99 |
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Provider | |
Duration | 8.5 hours |
Year | 2022 |
Level | Beginner |
Language | English ... |
Certificate | Yes |
Quizzes | No |
$19.99 $9.99
Shojah Ul Zubair Lone –
1. I dislike that music that keeps playing in the background very distracting for me! 2. The repeat of information at the beginning of each project no need! 3. The tone in each lecture needs to be ‘uplifted’ bit more modulated than it is now