minor update

.gitignore

@@ -1,22 +0,0 @@
-__pycache__/
-.ipynb_checkpoints/
-*.pyc
-.env
-.venv/
-venv/
-.DS_Store
-.vscode/
-
-data/*.csv
-data/*.parquet
-data/*.db
-data/03_hold_difficulty/*.csv
-data/04_climb_features/*.csv
-data/05_predictive_modelling/*.csv
-data/06_deep_learning/*.csv
-data/06_deep_learning/*.npy
-models/*.pth
-models/*.pkl
-models/*.csv
-
-BLOG.md

README.md

@@ -347,7 +347,6 @@ predictions = model.predict(X)
 ## Model files
 
 * `models/random_forest_tuned.pkl` — trained Random Forest
-* `models/scaler.joblib` — feature scaler (if applicable)
 
 ---
 ## Using the Prediction Script
@@ -480,4 +479,4 @@ print(result)
 
 This project is licensed under the MIT License. See the [`LICENSE`](LICENSE) file for details.
 
-The project is for educational purposes. Climb data belongs to Tension Climbing.
+The project is for educational purposes. Climb data belongs to Tension Climbing.