---
owner:
    hid: 338
    name: Sriramulu, Anand
    url: https://github.com/bigdata-i523/hid338
paper1:
    abstract: Processing power of docker with big data use cases
    author:
        - Anand Sriramulu
    chapter: Technology
    hid:
        - 338
    status: 100%
    title: Docker in support of Big Data Applications and Analytics
    url: https://github.com/bigdata-i523/hid338/paper1/report.pdf
paper2:
    review: Nov 6 2017
    abstract: Comparing Kubernetes and Docker Swarm Orchestrations, Discuss on the advantages of the Singularity Containers over the others
    author:
        - Anand Sriramulu
    chapter: Technology
    hid:
        - 338
    status: 100%
    title: A comparative study of Kubernetes and Docker Swarm and Advantages of Singularity Container to HPC World
    url: https://github.com/bigdata-i523/hid338/paper2/report.pdf
project:
    duplicate: True
    review: Dec 4 2017
    abstract: >
        In United States, more than 6 million residential homes sold
        in 2017. With ever-increasing demands, real estate is
        challenged with complex analysis of homes to
        provide accurate appraisals and predicting market
        fluctuations to react accordingly. Big data analytics
        helps mining the real estate data to provide valuable
        business insights. In this project, we have planned to
        analyze housing data to predict sale prices. Using well
        established datasets, with lots of exploratory variables,
        we could apply thorough exploration of the data, feature
        engineering and implement various advanced supervised
        learning algorithms, such as XGoost, Ridge, Lasso,
        Random Forest and Neural Network to
        predict accurate sale prices.
    author:
        - Murali Cheruvu
        - Anand Sriramulu
    chapter: Business
    hid:
        - 306
        - 338
    status: 100%; 12/10/2017
    title: Predicting Housing Prices
    type: latex
    url: https://github.com/bigdata-i523/hid306/project