Singular Value Decomposition(SVD) – A Dimensionality Reduction Technique
by Singular Value Decomposition (SVD) is a dimensionality reduction technique similar to PCA but more effective than PCA. It is considered as factorization of a data …
Author: kindsonthegenius
Kindson Munonye is currently completing his doctoral program in Software Engineering in Budapest University of Technology and Economics
PCA Tutorial 2 – How to Perform Principal Components Analysis (PCA)
Now you know some theories about Principal Components Analysis (PCA) and now we are going to go through how to actually perform it. Next we …
PCA Tutorial 1 – Introduction to PCA and Dimensionality Reduction
PCA is one of the concepts that many find a bit tough to grasp. I had the same issue, but now I figure out a …
Support Vector Machines in Machine Learning ( A Simple Tutorial)
Just as you know, I would try to explain Support Vector Machines (SVM) in a vary simple and clear way. I know many find it …
Simple Linear Regression in Machine Learning (A Simple Tutorial)
In this tutorial we would cover Simple Linear Regression in a very easy-to-understand way. We are assuming you don’t have much knowledge of Machine Learning …
Introduction to AVL Trees (With Examples)
AVL trees are self-balancing Binary Search Trees (BST) that was invented by Adelson, Velski and Landis. Let’s consider the following: AVL Tree Balance Factor How …
10 Machine Learning Project (Thesis) Topics for 2020
Are you looking for some interesting project ideas for your thesis, project or dissertation? Then be sure that a machine learning topic would be a …
How to Build a Simple API in Visual Studio with ASP.Net C# – Tutorial 1
We would go through a simple tutorial on how to build an API in Visual Studio (Step by Step) using ASP.NET C#. Before we go …