ProgramsSummer Capstone in Business AnalyticsProjectsMachine Learning Technology Evaluation & Testing

Project Title: Machine Learning Technology Evaluation & Testing

Eco-Enterprise, Inc.

Details
Project Title Machine Learning Technology Evaluation & Testing
Project Topics Data Management Product Design & Development Quality Control
Skills & Expertise
Project Synopsis: Challenge/Opportunity
Students in the MSBA 790 will deliver the following:
Project Synopsis: Activities/Actions Required
  • Evaluate the top five to seven Machine Learning platforms for our Industrial Internet of Things (IIOT) platform. Our IIOT solution is a big data cloud application that captures 31,536,000 rows of data containing over 1.5B data points every year for each device deployed. Students must present the pros and cons of using different ML tools and frameworks to process Big Data and extract key insights. 
  • An ML problem that is of interest to us is the impact of outliers on energy costs and long-term implications on energy consumption. We will provide students with a large data set to solve this problem using ML algorithms. Students must review and identify the appropriate ML algorithms for this problem. These algorithms must be executed (run) on the above ML platforms. An evaluation of the performance of the different ML platforms using this data set must be included in the presentation and report.
  • Students must also divide the data set that we provide into testing and training data and provide a detailed explanation as to how this was done.
Project Synopsis: Expected Results
The above information should be included both in your presentation and a detailed written report. This includes the following:  a) Highlight the top choice ML platform given your understanding of Eco Enterprise's goals. b)Which of the ML algorithms presents the best framework for analyzing the data? c) What insights were you able to generate based on the sample data? d) How might these insights further improve as you add more data? What are the cost and benefit implications of ML, in general?

Project Timeline

Eco-Enterprise, Inc. - Machine Learning Technology Evaluation & Testing
Due Date
Activities
Deliverables
Status
Action
Tue, 04/06/21
12:00 AM UTC
REMINDER OF CONFIDENTIALITY
No Deliverables
No deliverables are required for this action item.
Description:
During this program, you'll be working on a real project posed by a real industry partner. By registering for the CapSource system and participating in this Program, you are bound by the Rules of Engagement, including strict confidentiality of information shared with you. Please be respectful and professional.
Thu, 04/08/21
12:00 AM UTC
OFFICIAL PROJECT END
No Deliverables
No deliverables are required for this action item.
Sun, 06/06/21
12:00 AM UTC
Complete Pre-Kickoff Evaluation
No Deliverables
No deliverables are required for this action item.
Description:
Survey link: https://forms.gle/M6s5n9whydzqPP5W9
Mon, 06/07/21
12:00 AM UTC
Program Kickoff
No Deliverables
No deliverables are required for this action item.
Location:
Thu, 07/08/21
12:00 AM UTC
Complete Final Peer Evaluation Survey
No Deliverables
No deliverables are required for this action item.
Description:
Survey link: https://forms.gle/om5ss8f1jHZEXWyd8
Thu, 07/08/21
12:00 AM UTC
Complete Final Self Evaluation Survey
No Deliverables
No deliverables are required for this action item.
Description:
Survey link: https://forms.gle/Hb87qoaLq43stpZ19
Complete Temp Check Evaluation
No Deliverables
No deliverables are required for this action item.
Description:
Survey link: https://forms.gle/AVy1Xdq3pzskeN5d9
Complete Temp Check Evaluation
No Deliverables
No deliverables are required for this action item.
Description:
Survey link: https://forms.gle/AVy1Xdq3pzskeN5d9
OFFICIAL PROJECT KICKOFF
No Deliverables
No deliverables are required for this action item.
Description:
Find time to web conference and discuss project goals and timeline

Program Managers

Name Organization
Uma Gupta University of South Carolina - Upstate

Teams

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