In this project, I will be using tools such as unsupervised learning and Amazon SageMaker to initiate clustering cryptocurrencies and to create plots that will present the results.
Clustering Cryptocurrencies Using K-Means
- Data PreProcessing: Prepare data for dimension reduction with PCA and clustering using K-Means
- Reducing Data Dimensions Using PCA: Reducing data dimensions using the PCA algorithm from sklearn
- Clustering Cryptocurrencies Using K-Means: Predict clusters using the cryptocurrencies data using the KMeans algorithm from sklearn.
- Visualizing Results: Create plots and data tables to present the results
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Remove rows with cryptocurrencies that don't have any coins mined
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Drop the "CoinName" column, it wont be used in the clustering algorithm