DATA MUNGING
# 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

This python source code does the following: 1. Creates custom numpy matrix 2. Uses "linalg" and "matrix_rank" function for calculating rank of matrix

In [1]:

```
## How to find the Rank of a Matrix
def Kickstarter_Example_12():
print()
print(format('How to find the Rank of a Matrix','*^72'))
# Load library
import numpy as np
# Create matrix
matrixA = np.array([[1, 2, 3, 23],
[4, 5, 6, 25],
[7, 8, 9, 28],
[10, 11, 12, 41]])
# Return the Rank of a Matrix
print(); print("The Rank of a Matrix: ",
np.linalg.matrix_rank(matrixA))
Kickstarter_Example_12()
```

Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.

In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.

Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

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.

Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

In this project, we are going to work on Deep Learning using H2O to predict Census income.

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.