DATA MUNGING
DATA CLEANING PYTHON
MACHINE LEARNING RECIPES
PANDAS CHEATSHEET
ALL TAGS
How to find the Rank of a Matrix?
How to find the Rank of a Matrix?
This recipe helps you find the Rank of a Matrix
Recipe Objective
Finding the Rank of a matrix manually isn"t a time taking process. So have you tried to do it in python.
So this is the recipe on how we can find the Rank of a Matrix.
Step 1 - Loading Library
We have imported numpy which is needed.
import numpy as np
Step 2 - Creating a Matrix
We have created a matrix by using np.array with different values in it.
matrixA = np.array([[1, 2, 3, 23],
[4, 5, 6, 25],
[7, 8, 9, 28],
[10, 11, 12, 41]])
Step 3 - Calculating Rank
We have calculated rank of the matrix by using numpy function np.linalg.matrix_rank and passing the matrix through it.
print("The Rank of a Matrix: ", np.linalg.matrix_rank(matrixA))
So the output comes as
The Rank of a Matrix: 3
Relevant Projects
Solving Multiple Classification use cases Using H2O
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
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.
Resume parsing with Machine learning - NLP with Python OCR and Spacy
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
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.
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.
Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.
Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
Deep Learning with Keras in R to Predict Customer Churn
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.