I have used Python to put my knowledge of polynomial regression and 5-fold cross-validation into practice, which has strengthened my understanding of these ideas. In order to translate these methods, difficulties with data preprocessing had to be overcome, and Python’s syntax had to be adjusted for data display using Matplotlib and Seaborn.

I also learned a lot from instructional films on K-fold cross-validation, prediction error estimation, the value of validation sets, and other related topics. My comprehension of these ideas and how to effectively use them in Python have increased as a result of these real-world applications and educational resources.