cbrito3/cryptocurrencies

Supervised Learning Recap

Unsupervised Learning and Cryptocurrencies Report

Purpose

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.

As part of the report, the following will be deliver:

• 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

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