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Machine Learning with H2O & Python
Ravi Shankar
UConn
Agenda
• About Me
• About H2O
• H2O Architecture
• Machine Learning Algorithms on H2O
• Hands-on with H2O in Python
• Questions & Answers
About Me
• Bachelors from Indian Institute of Technology (IIT) Roorkee
• Currently pursuing MS in Business Analytics from UCONN
• 4 Years of experience in Analytics field
• Worked with Python, R, Java
• Ravi.2.Shankar@uconn.edu
• Linkedin.com/in/ravishankar001
About H2O
• Fast, Scalable, Open source application for machine/deep learning
• Big names such as PayPal, Nielsen Catalina, Cisco use H2O
• Using in-memory compression, H2O handles billions of data rows in-
memory even on small cluster
• Easy to Use APIs with R, Python, Scala, Java, JSON, and
CoffeeScript/JavaScript, as well as a built-in web interface, Flow
• H2O is designed to run in standalone mode, on Hadoop, or within a
Spark Cluster
• http://www.h2o.ai
H2O Architecture
Machine Learning Algorithms on H2O
• H2O includes many common machine learning algorithms, such as
generalized linear modeling (linear regression, logistic regression,
etc.), Naive Bayes, principal components analysis, k-means clustering,
and others. H2O also implements best-in-class algorithms at scale,
such as distributed random forest, gradient boosting, and deep
learning.
• Sparkling Water
• Steam
• Deep Water
Hands-on with H2O using Python
• Open up IPython Notebook
• Go to bit.ly(TBD) link to download the IPython notebook & data
• Looking at Marketing data set from UCI web repository
(http://archive.ics.uci.edu/ml/)
• Classification Problem
(http://archive.ics.uci.edu/ml/datasets/Bank+Marketing)
• Goal - The classification goal is to predict if the client will subscribe
(yes/no) a term deposit (variable y).
• Let’s get Started!!
Questions?

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Machine learning with H2O with Python

  • 1. Machine Learning with H2O & Python Ravi Shankar UConn
  • 2. Agenda • About Me • About H2O • H2O Architecture • Machine Learning Algorithms on H2O • Hands-on with H2O in Python • Questions & Answers
  • 3. About Me • Bachelors from Indian Institute of Technology (IIT) Roorkee • Currently pursuing MS in Business Analytics from UCONN • 4 Years of experience in Analytics field • Worked with Python, R, Java • Ravi.2.Shankar@uconn.edu • Linkedin.com/in/ravishankar001
  • 4. About H2O • Fast, Scalable, Open source application for machine/deep learning • Big names such as PayPal, Nielsen Catalina, Cisco use H2O • Using in-memory compression, H2O handles billions of data rows in- memory even on small cluster • Easy to Use APIs with R, Python, Scala, Java, JSON, and CoffeeScript/JavaScript, as well as a built-in web interface, Flow • H2O is designed to run in standalone mode, on Hadoop, or within a Spark Cluster • http://www.h2o.ai
  • 6. Machine Learning Algorithms on H2O • H2O includes many common machine learning algorithms, such as generalized linear modeling (linear regression, logistic regression, etc.), Naive Bayes, principal components analysis, k-means clustering, and others. H2O also implements best-in-class algorithms at scale, such as distributed random forest, gradient boosting, and deep learning. • Sparkling Water • Steam • Deep Water
  • 7. Hands-on with H2O using Python • Open up IPython Notebook • Go to bit.ly(TBD) link to download the IPython notebook & data • Looking at Marketing data set from UCI web repository (http://archive.ics.uci.edu/ml/) • Classification Problem (http://archive.ics.uci.edu/ml/datasets/Bank+Marketing) • Goal - The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y). • Let’s get Started!!