PySpark MLlib Tutorial | Machine Learning on Apache Spark | PySpark Training | Edureka

This Edureka video will provide you with a detailed and comprehensive knowledge of PySpark MLlib. Learn about the different types of Machine Learning techniques and the use of MLlib to solve real-life problems in the Industry using Apache Spark. This video covers the following topics:

1. What is Machine Learning
2. Machine Learning in the Industry
3. Types of Machine Learning
4. Pyspark MLlib in Spark Environment
5. Demo 1: Finding Hackers with PySpark MLlib
6. Demo 2: Customer Churn Prediction using MLlib

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About the Course

Edureka’s PySpark Certification Training is designed to provide you with the knowledge and skills that are required to become a successful Spark Developer using Python and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the PySpark Training, you will get an in-depth knowledge of Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will also get comprehensive knowledge of Python Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka.

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Spark Certification Training is designed by industry experts to make you a Certified Spark Developer. The PySpark Course offers:

Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator)
Comprehensive knowledge of various tools that fall in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming
The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
The power of handling real-time data feeds through a publish-subscribe messaging system like Kafka
The exposure to many real-life industry-based projects which will be executed using Edureka’s CloudLab
Projects which are diverse in nature covering banking, telecommunication, social media, and government domains
Rigorous involvement of an SME throughout the Spark Training to learn industry standards and best practices

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Who should go for this course?

The market for Big Data Analytics is growing tremendously across the world and such a strong growth pattern followed by market demand is a great opportunity for all IT Professionals. Here are a few Professional IT groups, who are continuously enjoying the benefits and perks of moving into the Big Data domain.

Developers and Architects
BI /ETL/DW Professionals
Senior IT Professionals
Mainframe Professionals
Freshers
Big Data Architects, Engineers and Developers
Data Scientists and Analytics Professionals

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There are no such prerequisites for Edureka’s PySpark Training Course. However, prior knowledge of Python Programming and SQL will be helpful but is not at all mandatory.

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[tanagool]

this presentation help me alot, thx you for sharing

[muhammadzohaibkhan]

this tutorial best knowledge thank you so much sir becuase i am researcher student.

[OwolabiEbenezerselectedsongs]

Why do i have to use Apachespark MLlib is python can also do the same job? Are there anything thing that Apache Spark has done to improve on what python and R can do?

[AbdurRahman-rsem]

IllegalArgumentException: u'Data type string of column instr is not supported. this messages shows when i run this line "final_data=

[khemkavinit]

Couldn't understood in Hacker prediction that why lesser SSE implies that hackers are not more than 3-4 ?

[ayushjain]

Sir which database is best to use with python