https://github.com/cepdnaclk/e19-co544-course-and-field-recommendation-system-based-on-student-results

Using Machine Learning to provide data based recommendations for students to select a field (department) after 1st year results, and to choose technical electives.
https://github.com/cepdnaclk/e19-co544-course-and-field-recommendation-system-based-on-student-results

Last synced: 2 days ago
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Using Machine Learning to provide data based recommendations for students to select a field (department) after 1st year results, and to choose technical electives.

• Host: GitHub
• URL: https://github.com/cepdnaclk/e19-co544-course-and-field-recommendation-system-based-on-student-results
• Owner: cepdnaclk
• Created: 2024-04-25T18:20:39.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-07-22T14:40:14.000Z (4 months ago)
• Last Synced: 2024-07-22T17:39:59.115Z (4 months ago)
• Language: Jupyter Notebook
• Size: 12.5 MB
• Stars: 2
• Watchers: 2
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# e19-co544-course-and-field-recommendation-system-based-on-student-results

Using Machine Learning to provide data based recommendations for students to choose technical elective subjects.

MLops - done by Zenml

#download

pip install "zenml[server]"

#file structure

+ /data - add dataset

+ /model - create models that you are using

+ /steps - steps of the development - applying models to data

+ /pipeline - to store pipeline files 

+ /temp - to store temporary files - codes before structuring

in model and steps - each step of the process should be in a different python file.

Use new file to import and preprocess data, model training and testing.

Create subfolders for each different model (MLP, Regression, etc.)

* Exmaple project file structure - https://github.com/ayush714/mlops-projects-course/tree/main

* MLOPS youtube tutorial - https://www.youtube.com/watch?v=-dJPoLm_gtE&t=2009s