MACHINE LEARNING RECIPES
DATA CLEANING PYTHON
DATA MUNGING
PANDAS CHEATSHEET
ALL TAGS
# Explain what is Box plot with an example using matplotlib?

# Explain what is Box plot with an example using matplotlib?

This recipe explains what what is Box plot with an example using matplotlib

What is Box plot? Explain with an example

Box plot is a box type *data visualization plotting function*. It shows all the statistical information about the data min, max, median, first quartile, and third quartile, outliers.

```
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
```

```
x=[2,5,7,9,10,11,15,18,21,24,27,33,38,40,55,64]
y=pd.DataFrame(x, columns = ['Num'])
```

```
y.boxplot()
```

Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.

Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

Given big data at taxi service (ride-hailing) i.e. OLA, you will learn multi-step time series forecasting and clustering with Mini-Batch K-means Algorithm on geospatial data to predict future ride requests for a particular region at a given time.

In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

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

In this deep learning project, you will build your own face recognition system in Python using OpenCV and FaceNet by extracting features from an image of a person's face.

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

Use the Adult Income dataset to predict whether income exceeds 50K yr based on
census data.

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

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