Gibbs sampling is a sampling method for Bayesian inference and MCMC

ROC is used to judging the performance of classifiers

Tree-based learning

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

hypothesis testing is about the probability of alternative hypothesis if the null hypothesis is true, or even more general

In statistics, we work with samples. For example, the sample mean is easily calculated. However, it …

An overview of statistics

Frequent patterns using association rules

Solving PDEs

Essential knowledge of computations

linear methods

A brief overview of machine learning

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

Algoritms give us life

C++ as a programming language

Python as a programming language

Python as a programming language

identifying the data types and level of measurement is important in data science

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