MusicMood
In this article, I want to share my experience with a recent data mining project which probably was one of my most favorite hobby projects so far. It’s all…
Machine Learning, python
Machine Learning, python
Turn Your Twitter Timeline into a Word Cloud
Last week, I posted some visualizations in context of Happy Rock Song data mining project, and some people were curious about how I created the word clouds…
Framework, Machine Learning & Statistics, programming
How to install and use the Datumbox Machine Learning Framework
In this guide we are going to discuss how to install and use the Datumbox Machine Learning framework in your Java projects. Since almost all of the code is written in Java, using it is as simple as including it as dependency in your Java project. Never…
Framework, Machine Learning & Statistics, programming
New open-source Machine Learning Framework written in Java
I am happy to announce that the Datumbox Machine Learning Framework is now open sourced under GPL 3.0 and you can download its code from Github! What is this Framework? The Datumbox Machine Learning Framework is an open-source framework written in Java…
Machine Learning
Naive Bayes and Text Classification
Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes’ probability theorem, are known for creating simple yet well performing…
Machine Learning
Kernel tricks and nonlinear dimensionality reduction via RBF kernel PCA
The focus of this article is to briefly introduce the idea of kernel methods and to implement a Gaussian radius basis function (RBF) kernel that is used to…
Machine Learning
Predictive modeling, supervised machine learning, and pattern classification
When I was working on my next pattern classification application, I realized that it might be worthwhile to take a step back and look at the big picture of…
Machine Learning, python
Linear Discriminant Analysis
I received a lot of positive feedback about the step-wise Principal Component Analysis (PCA) implementation. Thus, I decided to write a little follow-up…
Uncategorised
Dixon’s Q test for outlier identification
I recently faced the impossible task to identify outliers in a dataset with very, very small sample sizes and Dixon’s Q test caught my attention. Honestly…
Machine Learning, python
About Feature Scaling and Normalization
I received a couple of questions in response to my previous article (Entry point: Data) where people asked me why I used Z-score standardization as feature…