Statistical Learning

Confusion Matrix It is much easier to understand the confusion matrix if we use a binary …

Unsupervised Learning! Principle components analysis Clustering K-means Clustering Algorithm: …

In this article, we will explain how decision trees work and build a tree by hand. The code used in …

Bias Variance Trade off is a key concept in statistical learning

Principal component analysis is a method to remove redundancies of the features by looking into the variances.

A collection of my wiki articles related to data.