Instructions to use odedf2001/movies_metadata.csv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use odedf2001/movies_metadata.csv with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("odedf2001/movies_metadata.csv", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -316,5 +316,6 @@ The strongest model in both regression and classification tasks was **Gradient B
|
|
| 316 |
|
| 317 |
---
|
| 318 |
## 🎥 Watch the full project demo here:
|
|
|
|
| 319 |
https://www.loom.com/share/303dfe317514455db992438357cf8cb4
|
| 320 |
|
|
|
|
| 316 |
|
| 317 |
---
|
| 318 |
## 🎥 Watch the full project demo here:
|
| 319 |
+
|
| 320 |
https://www.loom.com/share/303dfe317514455db992438357cf8cb4
|
| 321 |
|