Smart WiFi Thermostat Enabled Thermal Comfort Control in Residences( use H2Oflow and R studio)

The project is based on building a model and training a Machine learning model using the H2O flow tool and R studio to predict the savings made by the model achievable from the thermal comfort level.

Only H2O flow and R studio show be used for this project.

Read the "what to do" document carefully and also check out the additional attachments provided. You can use any one of the data file(out of three) provided. Some scripts have been provided for your reference, you can use them at your convince.

Write a report showing why you use the specific machine learning model(DRF, GBM, DLNN, etc) show the scoring history- deviance, variable importance, output validation metrics.

Show the plots between the predicted data vs original data. The sample report has been attached.

Evner: Machine Learning (ML), Programmeringssproget R, Databehandling, Vedvarende energi-design, Python

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Om arbejdsgiveren:
( 0 bedømmelser ) Greene, United States

Projekt ID: #29891245

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Hello, I have read the outline of your project, I have done such this project and Im sure I can do this project. My background is Statistic and Applied Mathematic, create model statistic, predictive analytic, machine l Flere

$199 USD in 4 dage
(14 bedømmelser)

3 freelancere byder i gennemsnit $233 timen for dette job


Hi there, I have read your project description and i'm confident i can do this project for you perfectly.I still have a few questions. please leave a message on my chat so we can discuss the budget and deadline of the Flere

$250 USD in 5 dage
(24 bedømmelser)

Hi there, I'm bidding on your project "Smart WiFi Thermostat Enabled Thermal Comfort Control in Residences( use H2Oflow and R studio)" I am a data scientist and Being an expert machine learning and artificial intellig Flere

$250 USD in 5 dage
(15 bedømmelser)