Machine Learning algorithms implemented from scratch
Jupyter Notebook Python
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This repository contains popular Machine Learning algorithms, which have been introduced in various blog posts ( Most of the algorithms are accompanied with blog-posts in which I try to explain the mathematics behind and the interpretation of these algorithms.


Machine Learning is fun! But more importantly, Machine Learning is easy. But the academic literature or even (wikipedia-pages) is full with unnecessary complicated terminology, notation and formulae. This gives people the idea that these ML algorithms can only be understood with a full understanding of advanced math and statistics. Stripped from all of these superfluous language we are left with simple maths which can be expressed in a few lines of code.

Notebooks explaining the mathematics

I have also provided some notebooks, explaining the mathematics of some Machine Learning algorithms.


To install siML:

(sudo) pip install siml

or you can clone the repository and in the folder containing

python install

Code Example