Simple test program to play with SciPy regression functions for time series data
In a previous post, it was demonstrated that using larger number of polynomial regression coefficient increases the accuracy of the data fitting. In practical case…
In general, the prediction accuracy of machine learning is high in areas where there is a lot of data, and low in areas where there…
Kriging is a method often used in geostatistical science, and is called a Gaussian process in the popular field of machine learning. Kriging is one…
Goal here is to to understand basic polynomial regression from python numpy function – poly1d. The code below does fitting of random 1D data points…
Polynomial regression is a problem of determining the complex relationship in observed data.To be more specific, we can increase the coefficient of the regression equation…
Linear regression is a method for modeling the relationship between two scalar values: the input variable X and the output variable Y. For example, if…