# Tag: 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, …

## Dot Product of Two Matrices in Python

The product of two matrices A and B will be possible if the number of columns of a Matrix A is equal to the number of rows of another …

## 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 …

## 4 Types of Machine Learning (Supervised, Unsupervised, Semi-supervised & Reinforcement)

Machine learning is a subfield of Artificial Intelligence. The concept of machine learning originally started in 1959 by an American Arthur Samuel. He was an expert in the field …

## Logistic Regression (Python) Explained using Practical Example

Logistic Regression is a predictive analysis which is used to explain the data and relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level …

## Basics of Python for Data Science

Introduction to Python Python is an open-source, high-level and general-purpose programming language which was created by Guido Van Rossum and released in 1991. Python 3.7 was released on 27.06.2018. …

## 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 …