import matplotlib.pyplot as plt
import numpy as np
Step 2- Creating an array
y=np.array([3,5,1,5,15,35,50])
Step 3- Plotting the graph.
plt.barh(range(7),y)
What Users are saying..
Anand Kumpatla
Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More
In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.
FEAST Feature Store Example- Learn to use FEAST Feature Store to manage, store, and discover features for customer churn prediction machine learning project.
In this Deep Learning Project, you will use the customer complaints data about consumer financial products to build multi-class text classification models using RNN and LSTM.