typekev-mlnd-probability 1.1

Gaussian and Binomial distributions

# MLND Probability Classes

This package exposes two probability distribution classes, Gaussian and Binomial, and was made as part of the Udacity Machine Learning Engineer Nanodegree.

This package was created for educational purposes.

# Use of Gaussian and Binomial

The classes can be imported as so: from typekev_mlnd_probability import Gaussian and from typekev_mlnd_probability import Binomial

Both classes are initialized with the following attributes:

• mean: The mean or average

• stdev: Standard deviation

• data: The list of data in which to calculate the other attributes

Both classes also contain a read_data_file method.

The Gaussian and Binomial classes also contain unique attributes and methods. Though names may overlap, implementation will differ.

## Gaussian attributes and methods

The Gaussian class contains the following additional methods:

• calculate_mean

• calculate_stdev

• plot_histogram

• pdf

• plot_histogram_pdf

The magic methods __add__ and __repr__ have also been implemented.

## Binomial attributes and methods

The Binomial class contains the following additional attributes:

• n: The size of the data set

• p: The probability

The Binomial class contains the following additional methods:

• calculate_mean

• calculate_stdev

• replace_stats_with_data

• plot_bar

• pdf

• plot_bar_pdf

The magic methods __add__ and __repr__ have also been implemented.