Now the classification was performed by nonlinear Support Vector Machine (SVM) – using Gaussian Kernel. Goal here is to replace previous Linear SVM with Gaussian…
Machine learning is used to predict and classify data, and for this purpose, various machine learning algorithms are employed depending on the data set.SVM (Support…
Ordinary Kriging is one of the technique to build data-exact, best linear unbiased estimator. Goal here is to write a code to perform ordinary kriging…
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…