Tag Archives: Python
Mitigating Overfitting with Ridge Regression: A Step-by-Step Guide Using Polynomial Regression
Introduction One of the simplest ways to simulate overfitting is to use polynomial regression on a small dataset. We can fit a high-degree polynomial to a small dataset, which will lead to overfitting. Then we can see how regularization techniques like Ridge Regression (L2 regularization) help to mitigate the overfitting. Step 1: Generate a Small…
Setting Up Your Python Project Environment
When starting a new Python project, setting up a clean and organized environment is crucial for maintaining your code and managing dependencies. In this blog, we’ll walk through the steps to set up your Python project environment using either pip or conda, including creating a virtual environment, installing essential libraries, and ensuring reproducibility. We’ll also…