Machine Learning, Data Science, R Programming, Neural Networks, Towards Data Science.
consider a supervised algorithm and PCA an unsupervised algorithm. Talking about PCA The idea behind PCA is simply to find a low-dimension set of axes that summarize data. Why do we need to summarize data though? Let’s think about this example: We have a dataset composed by a set of properties from