Unsupervised-Learning--Data-Clustering

We analyze the data comprising stock price and financial indicators for a few companies listed under the New York Stock Exchange (Trade & Ahead case study). We group the stocks based on the attributes using unsupervised learning method such as K-means and Hierarchical Clustering and shared insights about the characteristics of each group.

Outline

1. Data Overview
2. Exploratory Data Analysis (EDA)
3. Data Preprocessing
4. Principal Component Analysis (PCA)
5. K-means Clustering
6. Hierarchical Clustering
7. K-means vs Hierarchical Clustering
8. Insights and Recommendations