Harish KandaninTowards Data ScienceUnmasking the math behind PCAA large number of features can be both a blessing or a boon depending upon the instance. It happens so quite often that quite a few…Oct 4, 2018Oct 4, 2018
Harish KandanBagging the skill of Bagging(Bootstrap aggregating).Perhaps I should start with an apology for the terrible pun eh?Jan 14, 2018Jan 14, 2018
Harish KandanEvaluating the evaluation metrics.When everything is said and done, when the data has been analysed and features have been tinkered with, when the hyperparameters have been…Dec 25, 2017Dec 25, 2017
Harish KandanThe social media negativityLet’s say you live in the era before phones were invented and you wanted to plan an outing with your friends living far apart. Can you…Oct 30, 20171Oct 30, 20171
Harish KandanFinding the k in k-means (And how PCA fits into the story)When introduced to unsupervised machine learning algorithms, one of the first algorithms one learns is k-means clustering. It’s a neat…Oct 2, 2017Oct 2, 2017
Harish KandaninTowards Data ScienceUnderstanding the kernel trick.I’ve observed that just like me, a lot of us who try to learn about support vector machines find it difficult to comprehend the brilliance…Aug 30, 201710Aug 30, 201710
Harish KandanThe chronicles of an aspiring Data Scientist with the titanic task of classifying the titanic…HELLO WORLD! Oh yes I am indeed a programmer. Well trying to be one anyway.Aug 4, 2017Aug 4, 2017