# Tag: learn data science

## 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, …

## Matrix Addition and Subtraction in Python

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 (Scalars, Vectors & Matrices)

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 …

## Scalars, Vector and Matrices in Python (Using Arrays)

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

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 (Python Distribution) Installation & Setup Guide for Windows

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 …

## Compare Data Science and Machine Learning (5 Key Differences)

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 …

## 42 Must Know Data Science Interview Questions and Answers

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 …

## Different Types of Probability Distribution (Characteristics & Examples)

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 for Data Science

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 …