It can save time and generate some fancy machine learning to solve ... with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

I make half a living from prodding the pros and cons of different programming languages, frameworks, and AI models here on ... and the output might be a linear regression on the data.

Creating Linear Regression with two-way interactions model Setting lrnRate = 0.0010 Setting maxEpochs = 100 Starting training epoch = 0 MSE = 0.3430 epoch = 20 MSE = 0.0570 epoch = 40 MSE = 0.0344 ...

Residual plots can be used to validate assumptions about the regression model ... inference for linear regression relies heavily on the variance estimate, MSE, and is therefore influenced by ...

However, with time series data, the ordinary regression residuals usually are correlated over time. It is not desirable to use ordinary regression analysis for time series data since the assumptions ...