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:
- 83f966521791678ff47940e36561b9267cd4d4a1ec14fad2cc4420595534eb5d
- Size of remote file:
- 112 kB
- SHA256:
- e3e96dfc39f26bdebace95612736fbc651ad9f01e00883cd7f7d9809a9281ded
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.