## Transpose of a Matrix in Python

A transpose of a matrix is obtained by interchanging all its rows into columns or columns into rows. It is denoted by \(\displaystyle {{A}^{t}}\) or \(\displaystyle {{A}^{‘}}\). For example, …

A transpose of a matrix is obtained by interchanging all its rows into columns or columns into rows. It is denoted by \(\displaystyle {{A}^{t}}\) or \(\displaystyle {{A}^{‘}}\). For example, …

Matrix Addition and Subtraction in Python programming language is performed like the normal algebraic operations. Before discussing these operations, it is necessary to introduce a bit about Algebra which …

Linear Algebra in TensorFlow: TensorFlow is open source software under Apache Open Source license for dataflow which is frequently being used for machine learning applications like deep-neural-network to improve …

Arrays in python, are frequently used to work with scalars, vectors and matrices, a topic of today’s post. This post is continuation of linear algebra for data science. We …

Linear Algebra for Data Science and machine learning is very essential as the concepts of linear algebra are used to understand the working of algorithms. In this post, we …

Anaconda Installation and setup guide for Windows. You will learn how to install Python/R on windows, step by step. Anaconda is most widely used open source distribution to perform …

Even after years of schooling, there are most common confusion that some students still face is the basic variance between Data Science and Machine Learning while they are for …

Q1. What is Data Science? Data Science deals with the processes of data mining, cleansing, analysis, visualization, and actionable insight generation. Data Science is the mining and analysis of relevant …

What is distribution? A distribution represent the possible values a random variable can take and how often they occur. Mean – it represent the average value which is denoted …

Probability is simply defined as a chance of something happening or the likelihood of an event is to happen. Probability played a vital role in decision making that’s why …