Implement Unsupervised ML Algorithms with Visualizations

[moah0911]

Issue: Implement Unsupervised ML Algorithms with Visualizations

Description:
Implement unsupervised machine learning algorithms module as specified in CONTRIBUTORS.md for Contributor 3.

Acceptance Criteria:

• Create unsupervised_module.py file
• Support both uploaded CSV and synthetic data
• Include overview + playground sections for each algorithm
• Interactive parameter controls (sliders, selectboxes)
• Visual outputs using matplotlib/seaborn
• Integrate with existing app.py tab structure

Tools to Use:

• scikit-learn
• matplotlib
• seaborn
• plotly (optional)

Files to Modify:

• Create: unsupervised_module.py
• Update: app.py (tab3 integration)
• Update: requirements.txt (add scipy)

Labels: enhancement, contributor-3, unsupervised-ml

[THANU3SREE]

Hi! I noticed that this issue is already being worked on by @moah0911.
If there's any way I can contribute or help out — perhaps with visualizations or testing integration with app.py — I’d love to assist. Let me know if collaboration is possible on this!

Thanks

[moah0911]

Hi! I noticed that this issue is already being worked on by @moah0911. If there's any way I can contribute or help out — perhaps with visualizations or testing integration with app.py — I’d love to assist. Let me know if collaboration is possible on this!

Thanks

alright @THANU3SREE , if you think so , lets work together and implement some more unsupervised algorithms

[THANU3SREE]

Thanks @moah0911! I'd love to collaborate.

Could you please assign me to this issue as well, so I can officially start contributing?

Looking forward to working together!