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Getting Started with H2O using Flow Getting Started with H2O using Flow
Data collection is easy. Decision making is hard. Today, we have access to a humungous amount of data, which is only increasing day by... Getting Started with H2O using Flow

Data collection is easy. Decision making is hard.

[Related Article: What Do Managers and Decision Makers Need to Know About AutoML?]


High-Level architecture of H2O

H2O FLow

Flow is a web-based interface of H2O and a great way for new users to get started and learn all available features and algorithms that H2O has to offer.

Setup

Installing H2O

Interface

Flow Interface

Working


Predicting Customer churn using H2O

Machine Learning Pipeline

1. Importing /Uploading Data

Parsing Data

Building Models

Viewing Models


Predictions on Validation Data


Productionizing Models


Conclusion

[Related Article: Not Quite a Perfect Model Stack]

Originally Posted Here

Parul Pandey

Parul Pandey

Parul is a Data Science Evangelist at H2O.ai. She combines Data Science, evangelism and community in her work. Her emphasis is to break down the data science jargon for the people. Prior to H2O.ai, she worked with Tata Power India, applying Machine Learning and Analytics to solve the pressing problem of Load sheddings in India. She is also an active writer and speaker and has contributed to various national and international publications including TDS, Analytics Vidhya and KDNuggets and Datacamp.

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