Flatten project folder structure and fix notebook links in READMEs

classification-project/README.md

@@ -31,6 +31,7 @@ The SGD → Random Forest jump illustrates why a linear decision boundary strugg
 
 Python, scikit-learn, matplotlib
 
-## Notebook
+## Notebooks
 
-[`notebook.ipynb`](notebook.ipynb)
+- [`classification.ipynb`](classification.ipynb) — original notebook, my own work
+- [`classification_notebook_polished.ipynb`](classification_notebook_polished.ipynb) — same analysis with AI-assisted documentation and formatting added for readability

housing-price-regression/README.md

@@ -29,6 +29,7 @@ Full pipeline from raw data to a tuned, evaluated model: EDA, stratified train/t
 
 Python, pandas, scikit-learn, matplotlib, seaborn
 
-## Notebook
+## Notebooks
 
-[`notebook.ipynb`](notebook.ipynb)
+- [`housing-ml-notebook.ipynb`](housing-ml-notebook.ipynb) — original notebook, my own work
+- [`housing_ml_notebook_polished.ipynb`](housing_ml_notebook_polished.ipynb) — same analysis with AI-assisted documentation and formatting added for readability

linear-models/README.md

@@ -21,6 +21,7 @@ Rather than just calling `.fit()`, this notebook implements the underlying math
 
 Python, NumPy, scikit-learn, matplotlib
 
-## Notebook
+## Notebooks
 
-[`notebook.ipynb`](notebook.ipynb)
+- [`linear_models_notebook.ipynb`](linear_models_notebook.ipynb) — original notebook, my own work
+- [`linear_models_notebook_polished.ipynb`](linear_models_notebook_polished.ipynb) — same analysis with AI-assisted documentation and formatting added for readability