Sprint 7, Task 1
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Updated
Oct 13, 2021 - Jupyter Notebook
Sprint 7, Task 1
Implementation of the calculation of measures of the central tendency
Calculate some statistics operation using javascript.
Implementation of dynamic mean algorithms.
Quality assessment measures of data clusters based on ground truth compatible with sklearn
A small library that does the statistics for your numbers.
A number is a mathematical object used to count, measure, and label.
Mathematics is the classification and study of all possible patterns.
A BigInt can represent whole numbers larger than 2⁵³ - 1.
Create an iterator which iteratively computes a cumulative harmonic mean.
Compute a moving harmonic mean incrementally.
This lab explores various image filtering techniques using OpenCV in Python. Tasks include applying box blur and Gaussian blur with different kernel sizes, followed by implementing geometric mean, harmonic mean, median, and max/min filters using 3x3 kernels.
Compute a harmonic mean incrementally.
Add a description, image, and links to the harmonic-mean topic page so that developers can more easily learn about it.
To associate your repository with the harmonic-mean topic, visit your repo's landing page and select "manage topics."