DATA MUNGING
DATA CLEANING PYTHON
MACHINE LEARNING RECIPES
PANDAS CHEATSHEET
ALL TAGS
# How to Calculate Mean, Variance and Std of a Matrix or ndArray?

# How to Calculate Mean, Variance and Std of a Matrix or ndArray?

This recipe helps you Calculate Mean, Variance and Std of a Matrix or ndArray

Statical analysis is very important part preprocessing. Have you tried to do it for matrix?

So this is the recipe on how we can can Calculate Mean, Variance and Std a Matrix or ndArray.

```
import numpy as np
```

We have only imported numpy which is needed.

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

We have calculated mean, median , variance and standard deviation by using numpy functions for a matrix.
```
print("Median: ", np.median(matrixA))
print("Mean: ", np.mean(matrixA))
print("Variance: ", np.var(matrixA))
print("Standrad Dev: ", np.std(matrixA))
```

So the output comes as

Median: 8.5 Mean: 12.1875 Variance: 118.27734375 Standrad Dev: 10.875538779757076

In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.

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

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

In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data.

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

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

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

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 project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.