Metadata-Version: 2.4
Name: samee
Version: 1.0.0
Summary: Drops the 20 ML practical scripts (one folder per experiment, with datasets) into the current directory
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: numpy

# samee

Drops the 20 ML practical scripts into a folder, one sub-folder per experiment with the dataset it reads.

```bash
pip install samee-1.0.0-py3-none-any.whl
samee ml               # creates ./ML_PRACTICAL/exp1 ... exp20
cd ML_PRACTICAL/exp1
python exp1.py
```

Options: `samee ml -o myfolder` (different folder name), `samee ml --force` (overwrite existing files),
`samee ml --list` (list the files), `samee ml --show exp5` (print one script).

| Experiments | Dataset | Topic |
|---|---|---|
| 1–5 | Advertising.csv | Linear / polynomial regression, adjusted R2, residuals, training size |
| 6–11 | UsedCars.csv / car_data.csv | Regression models, vehicle age, tuning, encoding, outliers, feature importance |
| 12–18 | SocialNetworkAds.csv | SVM kernels, scaling, tuning, feature sets, decision boundary, errors, logistic regression |
| 19–20 | IrisTreeDecision.csv | Decision tree depth, Gini vs entropy |
