Creating a cryptocurrency investment report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system using an unsupervised machine learning model.

Helping a hypothetical investment bank offer a crypto-focused portfolio for its customers.

Part 1: Preprocessing the Data for PCA

• read in file

• remove columns with unnecessary data for unsupervised learning

• get rid of nulls

• remove untradable coins

Part 2: Reducing Data Dimensions Using PCA

• assigning the new data to 3 different components

• create a PCA DataFrame

Part 3: Clustering Cryptocurrencies Using K-means

• use KMeans to cluster the crypto data

• print predictions made by the model

-add predictions to original data

• create an elbow curve

Part 4: Visualizing Cryptocurrencies Results

• create a 3D and 2D scatter plot

• count all the currently available cryptos