How to add and subtract between matrices?
DATA MUNGING DATA CLEANING PYTHON MACHINE LEARNING RECIPES PANDAS CHEATSHEET     ALL TAGS

How to add and subtract between matrices?

How to add and subtract between matrices?

This recipe helps you add and subtract between matrices

Recipe Objective

Have you tried to add or substract matrices in python?

So this is the recipe on how we can add and subtract between matrices.

Step 1 - Importing Library

import numpy as np

We have only imported numpy which is needed.

Step 2 - Creating Matrices

We have created two matrices on which we will perform operations. matrixA = np.array([[2, 3, 23], [5, 6, 25], [8, 9, 28]]) matrixB = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

Step 3 - Adding and Substracting Matices

First we are adding the two matrices using the numpy function np.add. After that we are performing substraction by using the numpy function np.subtract, in both the function we have passed the matrices. print(np.add(matrixA, matrixB)) print(np.subtract(matrixA, matrixB)) So the output comes as

[[ 3  5 26]
 [ 9 11 31]
 [15 17 37]]

[[ 1  1 20]
 [ 1  1 19]
 [ 1  1 19]]

Download Materials

Relevant Projects

House Price Prediction Project using Machine Learning
Use the Zillow dataset to follow a test-driven approach and build a regression machine learning model to predict the price of the house based on other variables.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Build a Collaborative Filtering Recommender System in Python
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Ecommerce product reviews - Pairwise ranking and sentiment analysis
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Predict Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

Machine Learning project for Retail Price Optimization
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.

PySpark Tutorial - Learn to use Apache Spark with Python
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.