https://github.com/vevdokimovm/python-qa-course
Jupyter notebooks from a Python + Machine Learning course — sklearn, linear regression, data analysis
https://github.com/vevdokimovm/python-qa-course
data-science jupyter machine-learning python scikit-learn
Last synced: 5 days ago
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Jupyter notebooks from a Python + Machine Learning course — sklearn, linear regression, data analysis
- Host: GitHub
- URL: https://github.com/vevdokimovm/python-qa-course
- Owner: vevdokimovm
- License: mit
- Created: 2020-09-26T09:42:14.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2026-04-20T20:10:25.000Z (2 months ago)
- Last Synced: 2026-04-20T22:17:09.725Z (2 months ago)
- Topics: data-science, jupyter, machine-learning, python, scikit-learn
- Language: Jupyter Notebook
- Size: 1.58 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# python-qa-course
Jupyter notebooks and practice materials from a **Machine Learning with Python** course (Atom QA, 2020). Covers ML fundamentals and linear models using scikit-learn.
## Course Structure
| Week | Topic | Notebooks |
|------|-------|-----------|
| Week 1 | ML Introduction | `part_2_intro_to_sklearn.ipynb` |
| Week 2 | Linear Models | `part_1_linear_regression.ipynb` |
## Tech Stack
- Python 3.x
- Jupyter Notebook
- scikit-learn
- NumPy, Pandas, Matplotlib
## Getting Started
```bash
git clone https://github.com/vevdokimovm/python-qa-course.git
cd python-qa-course
pip install jupyter scikit-learn numpy pandas matplotlib
jupyter notebook
```
## License
MIT