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Issue Title: Submitting the Hepatitis C Virus Prediction and Analysis
The goal was to Create a analysis and prediction model for the given dataset.
Name: Akanksha Bhimte
**GitHub ID: akanksha-2002
Idenitfy yourself: KWOC contributor
Closes: 472
Describe the add-ons or changes you've made π
I generated an EDA for the model, did data manipulation and cleansed the data to form a visualisation to analyse the relationship between different variables. Additionally, calculated a correlation heatmap to see how different variables interact with each other. Based on this pretext, used 4 different algorithms to determine the best model fit.
[x] My code follows the code style of this project.
-->β
[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)β
[ ] Code style update (formatting, local variables)β
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] This change requires a documentation updateβ
How Has This Been Tested? βοΈ
Describe how it has been tested- Using algorithms
Describe how have you verified the changes made- by running the code
Checklist: βοΈ
β
- [ ] My code follows the guidelines of this project.β
- [ ] I have performed a self-review of my own code.β
- [ ] I have commented my code, particularly wherever it was hard to understand.β
- [ ] I have made corresponding changes to the documentation.β
- [ ] My changes generate no new warnings.β
- [ ] I have added things that prove my fix is effective or that my feature works.β
- [ ] Any dependent changes have been merged and published in downstream modules.β
Pull Request for ML-Crate π‘
Issue Title: Submitting the Hepatitis C Virus Prediction and Analysis
Closes: 472
Describe the add-ons or changes you've made π
I generated an EDA for the model, did data manipulation and cleansed the data to form a visualisation to analyse the relationship between different variables. Additionally, calculated a correlation heatmap to see how different variables interact with each other. Based on this pretext, used 4 different algorithms to determine the best model fit.
How Has This Been Tested? βοΈ
Describe how it has been tested- Using algorithms Describe how have you verified the changes made- by running the code
Checklist: βοΈ
β - [ ] My code follows the guidelines of this project.β - [ ] I have performed a self-review of my own code.β - [ ] I have commented my code, particularly wherever it was hard to understand.β - [ ] I have made corresponding changes to the documentation.β - [ ] My changes generate no new warnings.β - [ ] I have added things that prove my fix is effective or that my feature works.β - [ ] Any dependent changes have been merged and published in downstream modules.β