References

1. Géron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. GitHub repository | PDF version
2. Polynomial Regression in Python. (n.d.). Retrieved from example.com
3. Anaconda, Inc. (n.d.). Conda documentation. Retrieved from https://docs.conda.io
4. Brownlee, J. (2019). How to Use Learning Curves. Machine Learning Mastery. Retrieved from https://machinelearningmastery.com/learning-curves-for-diagnosing-machine-learning-model-performance/
5. GeeksforGeeks. (n.d.). GeeksforGeeks. Retrieved from https://www.geeksforgeeks.org/
6. Unit testing in Python code using Pytest + GitHub Actions. Retrieved from YouTube
7. Pandas Documentation. Retrieved from https://pandas.pydata.org/pandas-docs/stable/
8. Jain, A. (2019). Brent Oil Prices Forecast with Prophet and ARIMA. Analytics Vidhya. Retrieved from https://medium.com/analytics-vidhya/brent-oil-prices-forecast-with-prophet-and-arima-50f5f177da5b