Unsupervised-learning

Unsupervised_Machine_Learning Module 18

Overview of the project

Martha is a senior manager for the Advisory Services Team at Accountability Accounting, one of your most important clients.
Accountability Accounting, a prominent investment bank, is interested in offering a new cryptocurrency investment portfolio for its customers.
The company, however, is lost in the vast universe of cryptocurrencies. So, they’ve asked us to 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.
The data Martha will be working with is not ideal, so it will need to be processed to fit the machine learning models.
Since there is no known output for what Martha is looking for, she has decided to use unsupervised learning.
To group the cryptocurrencies, Martha decided on a clustering algorithm. She’ll use data visualizations to share her findings with the board.
Steps to be completed :
Step 1: Preprocessing the Data for PCA (Principle Component Analysis)
Step 2: Reducing Data Dimensions Using PCA
Step 3: Clustering Cryptocurrencies Using K-means
Step 4: Visualizing Cryptocurrencies Results

RESULTS

Step 1: Preprocessing the Data for PCA (Principle Component Analysis)

The data is preprocessed by cleaning, encoding and scaling the output of scaled data is given below

Step 2: Reducing Data Dimensions Using PCA

We use Principle Component Analysis to reduce the data dimension and the output is given below

Step 3: Clustering Cryptocurrencies Using K-means

Step 4: Visualizing Cryptocurrencies Results