I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

We present CARTscans, a graphical tool that displays predicted values across a four-dimensional subspace. We show how these plots are useful for understanding the structure and relationships between ...

Next, we’ll illustrate how to implement panel data analysis in Python, using a built-in dataset on firms’ performance from the `linearmodels` library that follows from the example discussed above.

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be ...