How to create RANDOM Numbers in Python?
DATA MUNGING

How to create RANDOM Numbers in Python?

How to create RANDOM Numbers in Python?

This recipe helps you create RANDOM Numbers in Python

0
This python source code does the following: 1. Imports the necessary libraries 2. Generates the numpy numbers with unifrom distribution 3. Generates the numpy numbers with normal distribution
In [1]:
## How to create RANDOM Numbers in Python
def Kickstarter_Example_60():
    print()
    print(format('How to create RANDOM Numbers in Python','*^82'))

    import warnings
    warnings.filterwarnings("ignore")

    # Load Libraries
    import numpy as np

    # Generate A Random Number From The Normal Distribution
    print(); print(np.random.normal())

    # Generate Four Random Numbers From The Normal Distribution
    print(); print(np.random.normal(size=14))

    # Generate Four Random Numbers From The Uniform Distribution
    print(); print(np.random.uniform(size=14))

    # Generate Four Random Integers Between 1 and 100
    print(); print(np.random.randint(low=1, high=100, size=14))

Kickstarter_Example_60()
**********************How to create RANDOM Numbers in Python**********************

0.5718079692879499

[-0.61879245  0.65817166 -0.41865909 -0.94647033 -0.01689476 -0.47632777
  1.2639386  -0.11208773  0.14831378  0.84344252  1.22783882  1.0624572
 -0.71145307 -0.24354584]

[0.66456188 0.86262981 0.8608813  0.40233827 0.07954986 0.2030632
 0.37323321 0.28267457 0.67675625 0.10700224 0.89255879 0.38690977
 0.66770101 0.16143554]

[ 4 99 10 66 28 81 22  5 36 25 28 92 39 93]

Relevant Projects

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.

Forecast Inventory demand using historical sales data in R
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 on Wine Quality Prediction in R
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.

Ecommerce product reviews - Pairwise ranking and sentiment analysis
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Anomaly Detection Using Deep Learning and Autoencoders
Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

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.

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

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.

Mercari Price Suggestion Challenge Data Science Project
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.