added kmeans notebook

[nbzpro]

This notebook aims to do unsupervised clustering of champions, using the K-means algorithm. First, the stats are converted to a pandas dataframe. Then, the stats are scaled and weighted. Last, the K-means is applied.

There is a computation of a optimal number of clusters with the so-called "elbow algorithm". The first K-means algorithm separates the champions according to their attack speed, attack damage, and range at level 18. The second K-means algorithm separates them according to effective health, at level 18.

[PaulQbFeng]

add pandas and scikit-learn in requirements.txt

[PaulQbFeng]

y'a moyen de faire des plots aussi pour que ce soit visuel ? for fun

[PaulQbFeng]

Dans les notebooks tu peux aussi ajouter des titres, sous titres pour separer les cellules. Sinn c'est bon tu peux merge

Et faut test ori ap on hit