Understanding Principal Component Analysis In this part of the article, I will try to explain the mathematics and intuition behind Principal Component Analysis and in the next part, I will show how to implement Principal Component Analysis (PCA) using Python. PCA is an unsupervised machine learning technique which creates a low dimensional representation of a dataset. PCA is used to…

# Category: Fun with Statistics

## Post-Hoc Analysis of ANOVA Test

Finding Relationship Between Variables – ANOVA (Part 2) Post-Hoc Analysis of ANOVA Test in Python This article is in continuation of my earlier post, Finding Relationship Between Variables – ANOVA Test. In that post, I have explained basics of ANOVA Test on when and how to implement it using Python programming language. We took the Auto MPG DataSet and tried to…

## Finding Relationship Between Variables – ANOVA Test

Finding Relationship Between Variables – ANOVA (Part 1) ANOVA Test in Python Finding the relationship between variables is a very important step in any statistical modeling. For example, you are working in a dataset which contains hundreds of variables but very few observations, you cannot simply include all those hundreds of variables in your modeling. Otherwise you will be violating…

## Branches of Statistics and Types of Data

Understanding the world of Statistics This is the first post in this category where we would be going deeper into the magical world of statistics. Without the knowledge of statistics, analytics is incomplete. In fact, anyone aspiring to be a data analyst must first learn this before moving to more advanced topics like machine learning etc. For this introductory post, I…