Using data from the csv, crypto-market-data, I performed tasks to understand the significance of different datapoints within the dataset.
- The data was first prepared by StandardScaler, which normalized the dataset, and coin_id was set as the index
- Then, I found the Best Value for k Using the original scaled dataframe, using the elbow method.
- Next, I clustered the cryptocurrency with k-mean through the original scaled data
- Optimized Clusters through Principal Component Analysis
- Found the Best Value for k Using the PCA Data
- Clustered Cryptocurrencies with K-means Using the PCA Data