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This video covers the basics of Markov model with an example

In this final video of the series, we bring together all the concepts discussed earlier and try to understand the intuition behind the steps involved in performing PCA Prior videos in this series Intro : ruclips.net/video/jmPNu0NM6z8/видео.html Vectors : ruclips.net/video/aY2fMqTtz7I/видео.html Linear Transformation : ruclips.net/video/rf2rR1EhznI/видео.html Projections : ruclips.net/video/r4Lj...

In this series to understand PCA, this video talks concept of Covariance Matrix and shows with examples of how covariance matrix as a transformation matrix helps in identifying the dimensions with the most information in a dataset. This along with the eigen vectors video gives the core idea behind what happens in PCA Prior videos in this series Intro : ruclips.net/video/jmPNu0NM6z8/видео.html V...

In this series to understand PCA, this video talks about the important concept of eigen vectors and eigen values. At first look, these concepts look very hard but once we understand, linear transformations, change of basis it's easy to get an intuitive understanding of what Eigen vectors are. Prior videos in this series Intro : ruclips.net/video/jmPNu0NM6z8/видео.html Vectors : ruclips.net/vide...

In this series to understand PCA, this video talks about a "Change of Basis" Prior videos in this series Intro : ruclips.net/video/jmPNu0NM6z8/видео.html Vectors : ruclips.net/video/aY2fMqTtz7I/видео.html Linear Transformation : ruclips.net/video/rf2rR1EhznI/видео.html Projections : ruclips.net/video/r4LjweS35og/видео.html

In this series to understand PCA, this video talks about a very important concept "Projections" Prior videos in this series Intro : ruclips.net/video/jmPNu0NM6z8/видео.html Vectors : ruclips.net/video/aY2fMqTtz7I/видео.html Linear Transformation : ruclips.net/video/rf2rR1EhznI/видео.html

In this series about Principal Component Analysis, this is the third video which talks about what Linear Transformation means and the intuition behind it. Prior videos in this series Intro : ruclips.net/video/jmPNu0NM6z8/видео.html Vectors : ruclips.net/video/aY2fMqTtz7I/видео.html

In this series about Principal Component Analysis (PCA), the first section talks about basics of Vectors. If you are already familiar with Vectors, you can skip this video and move to the next part 'Linear Transformations'

In this series about Principal Component Analysis, the Intro video talks about what to expect from the series. We talk about PCA from the basis starting with i) Vectors ii) Linear Transformations iii) Projections iv) Change of Bases v) Eigen Vectors/Eigen Spaces vi) Covariance Matrix and finally vii) PCA

An explainer about what and why of name main in python Contents: 0:00 Channel Introduction 0:24 What is name ? 4:51 When is name main useful? 8:40 Summary