Exploratory: Analytics : Introduction to Principal Component Analysis (PCA)

19fc8f6113c5c3d86e6176362ff29479?s=47 Kan Nishida
September 11, 2019

Exploratory: Analytics : Introduction to Principal Component Analysis (PCA)

Principal Component Analysis (PCA) is an unsupervised machine learning algorithm and is known as one of the most popular dimensionality reduction technique. It can be also often used to visualize the relationships between the variables or even between the subjects of your interest such as customers, products, countries, etc.

Kan will introduce the basic concept of PCA and demonstrate how to use it to discover the patterns in data and understand the relationships better with many examples.

19fc8f6113c5c3d86e6176362ff29479?s=128

Kan Nishida

September 11, 2019
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