The project involved the use of Machine Learning. My client is an investment bank who is interested in offering a new cryptocurrency investment portfolio for its customers. My client requested that I create a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for this new investment. To complete the project, I needed to preprocess the data, reduce data dimensions using PCA, clustering the cleaned data using K-means, and then developing visualizations for my results. My code can be found in "crypto_clustering.ipynb."
The project deliverables were the following:
- Preprocessing the Data for PCA
- Reducing Data Dimensions Using PCA
- Clustering Cryptocurrencies Using K-means
- Visualizing Cryptocurrencies Results