Conditional Probability – Basics
by I assume you have a basic knowledge of Probability. For example, if there a 3 red ball and 2 blue balls in a bag and …
Category: Data Science
Principal Components Analysis(PCA) in Python – Step by Step
In this simple tutorial, we are going to learn how to perform Principal Components Analysis in Python. This tutorial would be completed using Jupyter Notebook. …
Basics of Genetic Algorithm – GA (Explained in Simple Terms)
We would examine the basics of Genetic Algorithm and dive a little deeper into the actual steps in genetics algorithm. I will try to be …
Introduction to Higher Order Singular Value Decomposition (HOSVD)
I would start with a brief review of SVD and then gradually ease into Higher Order SVD. As usual, I would try to make it …
Singular Value Decomposition(SVD) – A Dimensionality Reduction Technique
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 …
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 …