Instructions to use bin778/SportsCarModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use bin778/SportsCarModel with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://bin778/SportsCarModel") - Notebooks
- Google Colab
- Kaggle
docs: fix Dataset Link
Browse files
README.md
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## 데이터셋 (Dataset)
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- **데이터 출처**: [Sports Car Price Dataset on Kaggle](https://www.kaggle.com/datasets/
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- **타겟 변수 (예측 대상)**: `가격(원화)`, `마력`, `제로백 (0-100km)`
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- **주요 피처**: `제조사`, `모델`, `연식`, `엔진 크기`, `토크` 등
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## 데이터셋 (Dataset)
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- **데이터 출처**: [Sports Car Price Dataset on Kaggle](https://www.kaggle.com/datasets/rkiattisak/sports-car-prices-dataset/data) (예시 링크)
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- **타겟 변수 (예측 대상)**: `가격(원화)`, `마력`, `제로백 (0-100km)`
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- **주요 피처**: `제조사`, `모델`, `연식`, `엔진 크기`, `토크` 등
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