Tabular Classification
Scikit-learn
English
regression
classification
salary-prediction
stack-overflow
gradient-boosting
random-forest
logistic-regression
clustering
feature-engineering
tabular
Instructions to use rotemvahava/stackoverflow-salary-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use rotemvahava/stackoverflow-salary-predictor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("rotemvahava/stackoverflow-salary-predictor", "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

- Xet hash:
- b1d08dde91b698a05155a02b4817d1e18da7713cc38bd261a8399226e8f9a4ab
- Size of remote file:
- 246 kB
- SHA256:
- 4871bd31e1215ae2ce2998e596e3b1e110b1eaad75fe16dd0a3a3e440baebe28
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.