Explain how to Plot Normal distribution with the help of seaborn?

Explain how to Plot Normal distribution with the help of seaborn?

Explain how to Plot Normal distribution with the help of seaborn?

This recipe explains how to Plot Normal distribution with the help of seaborn


Recipe Objective

Plot Normal distribution with the help of seaborn.

Normal distribution is also called as Guassian distribution which says that the should be normally distributed in nature. As the data near the mean is more frequently occuring than the data far from the mean. The normal distribution will appear as a bell curve.

Step 1 - Import the necessary libraries

from numpy import random import matplotlib.pyplot as plt import seaborn as sns

Step 2 - Take random samples

sample = random.normal(size=1000)

Step 3 - Plot the graph

sns.distplot(sample, hist=False) plt.show()

Relevant Projects

Build an Image Classifier for Plant Species Identification
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.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Machine Learning project for Retail Price Optimization
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.

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

Loan Eligibility Prediction using Gradient Boosting Classifier
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

Solving Multiple Classification use cases Using H2O
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

German Credit Dataset Analysis to Classify Loan Applications
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.

Natural language processing Chatbot application using NLTK for text classification
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.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
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.

Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.