Chi Square Distribution in Python

Submitted by moazkhan on

In this tutorial you will learn:

  • What is Chi Square Distribution?
  • Chi Square Distribution Implementation in python
  • Visualization of Chi Square Distribution

Chi Square Distribution

Chi Square Distribution (also known as Chi-Squared Distribution) is a continuous distribution formed by taking the sum of squared standard normal deviates, while a standard normal deviates is the random sample from the normal distribution. As in Chi Square Distribution, the values are squared, so the result produced are always positive.

Exponential Distribution in Python

Submitted by moazkhan on

In this tutorial you will learn:

  • What is Exponential Distribution?
  • Exponential Distribution Implementation in python
  • Visualization of Exponential Distribution

Exponential Distribution

Exponential Distribution is most widely used continuous distribution. The exponential distribution is concerned with amount of time until a specific event has occurred. As an example, the time elapsed between two pandemics or the time spent after last engine oil change of a vehicle can be modeled using exponential distribution.

Multinomial Distribution in Python

Submitted by moazkhan on

In this tutorial you will learn:

  • What is Multinomial Distribution?
  • Multinomial Distribution Implementation in python
  • Visualization of Multinomial Distribution

Multinomial Distribution

Multinomial Distribution is a probability distribution which is used to calculate the distributions of experiments involving two or more variables/ outcomes. Binomial Distribution is a type of Multinomial Distribution with only two outcomes for example head/ tail and true/ false.

Logistic Distribution in Python

Submitted by moazkhan on

In this tutorial you will learn:

  • What is Logistic Distribution?
  • Logistic Distribution Implementation in python
  • Visualization of Logistic Distribution

Logistic Distribution

Logistic distribution is a continuous distribution used for modelling growth and logistic regression. Its graphical representation replicates the normal distribution, belongs to symmetrical family of distribution and always have one peak. It has really simple cumulative distribution formula due to which it replicates normal distribution extremely well.

Check File Exist Using PHP

Submitted by razormist on
In this code we will tackle about Check File Exist using PHP. The code will check the file if exist in the folder when a filename is entered. This is a user-friendly kind of program feel free to modify it. To learn more about this tutorial, just follow the step below.

Getting Started:

First you have to download & install XAMPP or any local server that run PHP scripts.

Block Breaker Game

Submitted by razormist on
Block Breaker Game with Source Code is a JavaScript project that is a single-player game where the player must bounce the ball continuously in order to get scores. The program was developed using these languages JavaScript, CSS and HTML. The program is very easy to play, the player can control the blue bar object by moving the mouse left or right. The game contains different difficulties where the

Ticket Booking System Using Python

Submitted by razormist on
Ticket Booking System with Source Code is a Python program that can book tickets in digital way. This program was only developed using Python language. The system is a simple console application, the user can access the system freely by just entering a certain keys. The user can add customer name, view PNR status, and generate the total booked ticket. The system contains all the basic

Rectangular Distribution in Python

Submitted by moazkhan on

In this tutorial you will learn:

  • What is a Rectangular Distribution?
  • Rectangular Distribution Implementation in python
  • Visualization of Rectangular Distribution

Rectangular Distribution

Rectangular distribution is a distribution that has a constant probability, it is also known as uniform distribution. It is a family of symmetric probability distributions and the outputs of the distribution lies between certain bounds. These bounds are defined by two parameters which are the maximum and minimum values.