Youtor
SKlearn PCA SVD Dimensionality Reduction
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=O3qXimMGn28
#ScikitLearn #DimentionalityReduction #PCA #SVD #MachineLearning #DataAnalytics #DataScience • Dimensionality reduction is an important step in data pre processing and data visualisation specially when we have large number of highly correlated features. • In this tutorial, we apply Principal Component Analysis and Singular Value decomposition to boston housing and MNIST handwriting dataset and observe the effects of dimensionality reduction on accuracy. • We also see how dimensionality reduction can be used to visualize data. • For all Ipython notebooks, used in this series : https://github.com/shreyans29/thesemi... • Facebook : / thesemicolon.code • Support us on Patreon : / thesemicolon
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