Introduction In statistics and Machine Learning, we often get to work with data samples. These samples are used to estimate the behaviour of the population. In inferential statistics, density estimation is used to derive informations about the population.
Singular Value Decomposition in python from scratch According to wikipedia, SVD is a factorization of a real or complex matrix. For more information, please go through this wiki link.
Knowing a machine learning model and it’s behaviour is very important for a data scientist. To decide which model suits best to your needs, model evaluation is very important.
PCA is very useful tool in machine learning. When it comes to dimensionality reduction, PCA is one of the basic and mostly used tools by ML practitioners.
Science has never been defined by infallibility or superhuman perfection. It has always been about healthy skepticism, about putting every hypothesis to the test. - Ben Orlin, Math with Bad Drawings
