Apache Spark For Machine Learning & Data Science

Apache Spark For Machine Learning & Data Science : One day Instructor Led Free workshop

This hands-on, One day Instructor Led Free training targets freshers, experienced Data Scientists & Developers willing to perform data analysis at scale using Apache Spark.

In this workshop, I will covers an overview of Big data, Apache Hadoop , Apache Spark, hands-on projects utilizing extract- transform-load operations (ETL), employing exploratory data analysis (EDA),
building machine learning models, evaluating models, and performing cross validation.

All hands-on labs are run on Databricks Community Edition, a free cloud based Spark environment. This allows the participants to maximize their time using open source Apache Spark to solve real problems,
rather than dealing with the complex issues of setting up Spark cluster installations.

Intended Audience :
Freshers, Developers & Data scientists with experience in machine learning and Scala or Python programming, who want to adapt traditional machine learning tasks to run at scale using Apache Spark.

Requirements :
All ​participants ​need ​a ​laptop ​with ​updated ​versions ​of ​Chrome ​or ​Firefox
About Trainer :
Ladle Patel is a Data Scientist at Genpact, where he works on Scalable Machine Learning and Deep Learning Models. Prior to joining Genpact in July 2016, he worked at TCS labs and Thomson Reuters, where he worked on Python, Machine Learning, Hadoop, Spark & Java/J2EE.
Ladle has over 7 years of IT experience with the last 4 years focused on large scale data science & engineering.In his free time, Ladle contributes to local data science meetup groups and Python community.

https://www.linkedin.com/in/ladlepatel/
https://github.com/lp-dataninja