Added KMeans and DBSCAN clustering with Streamlit UI and docs

[ravicoder01]

✅ What I implemented:
Combined Supervised + Unsupervised Learning in one app.py

KMeans & DBSCAN clustering with Streamlit UI

Supervised learning model tuning via dropdowns (KNN, SVM, etc.)

Dataset upload or synthetic generation support

Silhouette score & plots for clustering

Markdown docs in /docs for algorithms

📁 Folder Structure:
app.py
unsupervised_algos/
├── kmeans_clustering.py
└── dbscan_clustering.py
supervised_module/
└── interactive_model_tuning.py
data_handler/
└── upload_validate.py
docs/
├── kmeans.md
└── dbscan.md

[ravicoder01]

Resolved merge conflict in app.py by integrating clustering feature into main UI. PR is ready for review

[ravicoder01]

Hii @manasvi-0, please review this PR. I have addressed all the issues

[ravicoder01]

@manasvi-0 resolved the merge conflict by merging supervised + unsupervised into app.py.