DATA MUNGING
DATA CLEANING PYTHON
MACHINE LEARNING RECIPES
PANDAS CHEATSHEET
ALL TAGS
# How to find Maximum and Minimum values in a Matrix?

# How to find Maximum and Minimum values in a Matrix?

This recipe helps you find Maximum and Minimum values in a Matrix

Have you ever tried to find maximum and minimum value in matrix? So lets see how we can do this.

So this is the recipe on how we can find Maximum and Minimum values in a Matrix.

```
import numpy as np
```

We have only imported numpy which is needed.

We have created a 4 x 4 matrix using array.
```
matrix_101 = np.array([[10, 11, 12, 23],
[4, 5, 6, 25],
[7, 8, 9, 28],
[1, 2, 3, 41]])
```

We can find the maximum and minimum values by using the function max and min respectively. We can also pass axis as a parameter which will help us to find maximum or minimum values of every rows and column.
```
print(np.max(matrix_101))
print(); print(np.min(matrix_101))
print(np.max(matrix_101, axis=0))
print(); print(np.max(matrix_101, axis=1))
```

So the output comes as

41 1 [10 11 12 41] [23 25 28 41]

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

In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

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.

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.

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.

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 R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

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