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.

Regression is one of the most powerful statistical tools for finding relationships in data. Python makes it easy, and it's much more flexible than a spreadsheet.

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

Learn how to do time series regression using a neural network, with 'rolling window' data, coded from scratch, using Python.

As the title “Practical Regression” suggests, these notes are a guide to performing regression in practice. This technical note discusses time-series data. The note explains the concept of a time ...

Richard H. Jones, Time Series Regression with Unequally Spaced Data, Journal of Applied Probability, Vol. 23, Essays in Time Series and Allied Processes (1986), pp. 89-98 ...

As with "ordinary" time series, the data analyst is faced with the same problems of modeling, estimation, model checking, diagnostics and prediction. The present work shows that these questions can be ...