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 ...

In this post, we’ll discuss some of the differences between fixed and random effects models when applied to panel data — that is, data collected over time on the same unit of analysis — and how these ...

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.