Machine learning based on Euclidean distance in Python

Ever wondered how Amazon or Youtube knows what books, movies or products you will probably like? In this short example you will see a simple way to measure the similarity of taste between two person. This can help to propose new movies, books or products, which one of the two, doesn’t know yet.

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Python basics for machine learning!

Basic machine learning programs can be realized with a few lines of code. To do this one has to understand how one can save numbers, text to a variable and go through this array. The Python basics for machine learning consists of lists, dictionaries and how to go through theses lists or dictionairies using loops or list comprehensions. Once you installed Python you can start with this code.

a= 1
b="Loernz"
list_of_numbers = [0,1,2,3,4,5]
list_of_characters=['My', 'name', 'is', 'Lorenz']
list_characters_numbers=['I am ', 12, 'years old']

print a, b, list_of_numbers, list_of_characters

The result will be:

1 Loernz [0, 1, 2, 3, 4, 5] [‘My’, ‘name’, ‘is’, ‘Lorenz’]

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