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
Update README.md
Browse files
README.md
CHANGED
|
@@ -36,6 +36,13 @@ pipeline_tag: tabular-classification
|
|
| 36 |
|
| 37 |
> **Video link:** *(add your video link here after recording)*
|
| 38 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 39 |
---
|
| 40 |
|
| 41 |
## Project Overview
|
|
|
|
| 36 |
|
| 37 |
> **Video link:** *(add your video link here after recording)*
|
| 38 |
|
| 39 |
+
---
|
| 40 |
+
## Notebook
|
| 41 |
+
|
| 42 |
+
The complete project notebook with all code, outputs, visualizations, and explanations is included in this repository.
|
| 43 |
+
|
| 44 |
+
[Download the notebook](Assignment_2_Rotem_Vahava.ipynb) to see every step of the analysis end-to-end.
|
| 45 |
+
|
| 46 |
---
|
| 47 |
|
| 48 |
## Project Overview
|