Best Sellers in “Spark MLlib Projects”

Analysing Big Data with Twitter Sentiments using Spark Streaming

In this big data spark project, we will do Twitter sentiment analysis using spark streaming on the incoming streaming data.

• • Introduction to Spark MLib
• • Spark Streaming
• • Training a text classification model using Spark MLib
• • Classifying real-time twitter streams using Spark MLib
• • Integration of Spark streaming and MLib
• and more...

Analysing Big Data with Twitter Sentiments using Spark Streaming

In this big data spark project, we will do Twitter sentiment analysis using spark streaming on the incoming streaming data.

Who should enroll for Spark MLlib projects ?

• Data Scientists and Data analysts who want to leverage the power of spark machine learning library for analysing interesting datasets.
• Big Data Developers and Engineers who would like to practice hands-on machine learning using Spark.

Key Learning’s from DeZyre’s Apache Spark MLlib Projects

• Learn to implement complex machine learning algorithms like recommendations using Spark MLlib library with simple lines of code.
• Learn to use spark for a variety of analytics and machine learning tasks.
• Leverage the power of Spark’s powerful machine learning API for variety of predictive analytic tasks.

 What will you get when you enroll for Spark MLlib projects?

• Spark Machine Learning Project Source Code: Examine and implement end-to-end real-world big data and machine learning  projects on apache spark  from the Banking, Finance, Retail, eCommerce, and Entertainment sector using the source code.
• Recorded Demo: Watch a video explanation on how to execute these Spark Machine Learning projects for practice.
• Complete Solution Kit: Get access to the big data solution design, documents, and supporting reference material, if any for every spark MLlib project use case.
• Mentor Support: Get your technical questions answered with mentorship from the best industry experts for a nominal fee.
• Hands-On Knowledge: Equip yourself with practical skills on Spark Machine Learning component in the spark ecosystem.