Goal here is to get historical (time series) stock price with respect to time. The approach recommended for this is to use python yahoo finance…
In some cases you are required to find the distance between two strings, so here is a note for that. The edit distance – Levenshtein…
I found that Graphviz is useful to explain the classification process to the customers. In order to install and run graphviz on python, you need…
Decision tree analysis can be explained as “divides the data step by step and outputs tree-like analysis results” The beauty of Decision tree analysis is…
The case where there are not only “0” and “1” but also “2”, “3” to “9” and many other classification categories (=classes) is called multi-class…
Keras is a high-level neural network library written in Python that can be run on TensorFlow or Theano. Keras has been developed with an emphasis…
SVM is a supervised machine learning algorithm that can be used for both classification and regression tasks, but in practice it is more commonly used…
Now the classification was performed by nonlinear Support Vector Machine (SVM) – using Gaussian Kernel. Goal here is to replace previous Linear SVM with Gaussian…