| license: mit | |
| tags: | |
| - scikit-learn | |
| - xgboost | |
| - tabular-classification | |
| # My Model | |
| Thesis project ke models: Random Forest, XGBoost, aur Neural Network (sklearn based), | |
| saath mein preprocessor aur feature names. | |
| ## Files | |
| - `model_random_forest.joblib` — Random Forest model | |
| - `model_xgboost.joblib` — XGBoost model | |
| - `model_neural_net.joblib` — Neural Network model | |
| - `preprocessor.joblib` — Data preprocessing pipeline | |
| - `feature_names.json` — Feature names used in training | |
| ## Usage | |
| ```python | |
| import joblib | |
| model = joblib.load("model_random_forest.joblib") | |
| preprocessor = joblib.load("preprocessor.joblib") | |
| ``` | |