Versions Compared

Old Version 1

changes.mady.by.user Lorraine Chapman

Saved on

compared with

New Version Current

changes.mady.by.user Lorraine Chapman

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

This project is available as a student work experience opportunity with HPCC Systems this summer. Curious about other projects we are offering? Take a look at our Ideas List. was completed during the 2020 HPCC Systems Intern Program by Vannel Zeufack, Kennesaw State University, USA.

Find out about the HPCC Systems Summer Internship Program.

The project proposal application period for 2020 summer internships is now open. Please see our list of Available Projects. Contact the project mentor for more information and to discuss your ideas. You may suggest a project idea of your own but it must leverage HPCC Systems in some way. Contact us for support from an HPCC Systems mentor with experience in your chosen project area.

Project Description

Add more details as needed

...

Resources Available to Learn More about this completed project:

Project Description

The student will produce a pre-processing bundle as part of the HPCC System Machine Learning Library that assists the user in performing some of the basic tasks of preparing their data for use with various ML Algorithms. The aim is to create tools in ECL to be added to the HPCC Systems machine learning library in the form of bundles bundle to prepare data. Some examples of tools to be added are

  • Feature engineering One- one hot codingNormalizationencoding/decoding
  • Variable normalization and standardization
  • Scaling
  • Sampling
  • Suggest a tool
  • Various sampling methods
  • Other important pre-processing tasks identified during the course of the project

The project is open to accepting other suggested tools that users of the HPCC Systems ML library may find useful.

Completion of this project involves:

  • <4+ high level tasks to be completed>Implementation of proposed pre-processing tools in ECL
  • Unit Testing
  • Code check in on Github
  • Documentation
  • White Paper

By the mid term review we would expect you to have:

  • TBC. 
  • <What must be completed to pass the evaluation and continue on to complete the project>Implemented at least 60% of the proposed tools
Mentor

TBD
Contact Details

Backup Mentor: TBD
Contact Details 

Skills needed
  • Knowledge of ECL. Training manuals and online courses are available on the HPCC Systems website.
  • Knowledge of distributed computing techniques
<Add as appropriate to the project.>
  • Familiar with HPCC Systems Machine Learning Library
  • Familiar with Data Pre-Processing
  • Familiar with Github
Deliverables

  • Midterm

<Deliverable(s) to be achieved>
    • Implement at least 60% of the proposed tools

    End of project

  • <Deliverables expected by the end of the internship>
  • Supporting documentation.
    • Tests
      • Implement 100% of the proposed tools
      • Unit Testing
      • Code check in on Github
      • Documentation
      • White Paper
    Other resources
    documentationExisting examples: <github links etc>
    <Where relevant or other online resource>