nimisha-v-arun / 120-years-of-olympic-history-athletes-and-results-

Applied Clustering techniques

120-years-of-Olympic-history-athletes-and-results-

Applied Clustering techniques

Please change the source of the dataset in the pd.read_csv("../input/data.csv") command before running the Apriori.py and Clustering.py These files were create using Jupyter notebook, and hence you will have to add print statements whereever necessary.

The libraries used in this project are :

1. pandas
2. numpy
3. matplotlib
4. mlxtend
5. sklearn
6. scipy
7. mpl_toolkits

please install the necessay packages using pip install command.

This is an Analysis on the olympics dataset using the apriori algorithm for frequent itemset generation, k-means clustering and hierarchical clustering algorithm for finding pattern among countries.