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
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## Notebook
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[Download the notebook](Assignment_2_Rotem_Vahava.ipynb) to see every step of the analysis end-to-end.
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## Project Overview
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## Notebook
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[](https://colab.research.google.com/drive/1Wm4u7864Gq6GQOiJLNCwqjJSvXtEqAPC)
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The complete project notebook with all code, outputs, visualizations, and explanations is included in this repository. [Download the notebook](https://huggingface.co/rotemvahava/stackoverflow-salary-predictor/blob/main/Assignment_2_Rotem_Vahava.ipynb) to see every step of the analysis end-to-end.
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## Project Overview
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