https://github.com/datadrivenconstruction/ml-price-prediction-model

ML Price Prediction Model for Projects in RVT, IFC Formats
https://github.com/datadrivenconstruction/ml-price-prediction-model

ai bim construction csv ifc machine-learning ml prediction revit xml

Last synced: 2 months ago
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ML Price Prediction Model for Projects in RVT, IFC Formats

• Host: GitHub
• URL: https://github.com/datadrivenconstruction/ml-price-prediction-model
• Owner: datadrivenconstruction
• License: gpl-3.0
• Created: 2021-12-15T10:20:51.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2023-12-18T15:03:00.000Z (over 2 years ago)
• Last Synced: 2023-12-18T16:43:26.350Z (over 2 years ago)
• Topics: ai, bim, construction, csv, ifc, machine-learning, ml, prediction, revit, xml
• Language: Jupyter Notebook
• Homepage:
• Size: 3.74 MB
• Stars: 7
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          

## ML Price Prediction Model for Projects in RVT, IFC Formats

![enter image description here](https://DataDrivenConstruction.io/wp-content/uploads/2021/12/Untitled-1-scaled.jpg)

## Generating Mass Data DataDrivenConstruction.ipynb

Creating fake data of 50 projects, with data based on the  first four files, to show the possibility of creating a model for predicting  project prices, which will be based on the company's 50 projects

## Creating a Prediction Model DataDrivenConstruction.ipynb

After converting IFC, RVT files into JSON-CSV formats, we can create prediction models. In this example, we accepted that all the project data that are saved in one CSV file we can equate the price of the project. So having for example 50 typical projects with known price we can predict price of 51 projects - 4_1house_R.csv: with new set of parameters by parametric data in CSV file.

# DataDrivenConstruction

https://DataDrivenConstruction.io/

DataDrivenConstruction transferring information to another party without the need for external guarantors or trusted ‘third parties’, enabling data to be exchanged within 3D-7D systems and between construction parties directly, bypassing any third-party companies controlling data storage and transfer. DataDrivenConstruction allows to automate work with project data. In order to get automatic data from thousands of projects automatically, you need to build the pipeline once on the open tools.

DataDrivenConstruction - You Way to Free Tools in Construction.

### Go to  BIM 2.0  go to  Open Data

![enter image description here](https://DataDrivenConstruction.io/wp-content/uploads/2021/10/BIM20.jpg)