Cryptocurrency classification project using K-means algorithm. The data provided was selected, processed and standardized to fit the machine learning model. The elbow curve was used to determine the optimal number of K clusters. For easy understanding of the results, the data was plotted using a 3D and 2D scatter plot.
conda install scikit-learn
conda install plotly
conda install -c pyviz hvplot