For this challenge about the cryptocurrency market, I am helping Martha and her firm to discover trends that will convince investors to invest in these new currencies. For this investment, a report was created as an analysis to help address what cryptocurrencies are on the trading market and how they could be grouped to create a classification system. The initial data is not ideal, so it will need to be processed to fit the machine learning models. Since there is no known output, I will use unsupervised learning. To group the cryptocurrencies, I decided on a clustering algorithm, followed by data visualizations, such as tables, 3-D scatter plot and hvplot.scatter plot, to share the findings.
- Deliverable 1: Preprocessing the Data for PCA
- Deliverable 2: Reducing Data Dimensions Using PCA
- Deliverable 3: Clustering Cryptocurrencies Using K-means
- Deliverable 4: Visualizing Cryptocurrencies Results
