Implemented Student attendance model

[rajneeshkabdwal4]

Pull Request for ML-Crate 💡

Issue Title: Student Attendance based on Weather Conditions

• Info about the related issue (Aim of the project) : Developement of a Machine Learning Model used to predict Student Attendance.
  Rajneesh Kabdwal
  rajneeshkabdwal4
  Mentee

Closes: #514

Describe the add-ons or changes you've made 📃

Implemented following ML models:
Random forest
Decision tree
Logistic regression
Lasso
Ridge
Gradient boosting
XgBoost
MLP

Give a clear description of what have you added or modifications made

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

Describe how it has been tested
Describe how have you verified the changes made

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @rajneeshkabdwal4 :)

[abhisheks008]

Follow the project structure and put your files according to that. Check out the other projects and put your files properly in Dataset, Images and Model folder.

@rajneeshkabdwal4