Unsupervised-Learning

• Project completed as part of Great Learning's Postgraduate Program - Data Science and Business Analytics
• Project delivered in February 2022
• Repository includes two files:
  • Jupyter notebook with Python code written for data analysis and model building
  • CSV file includes data imported into notebook

Problem Statement

• Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.

Skills and Tools

• Exploratory Data Analysis (Variable identification, Univariate analysis, Bivariate analysis)
• K-Means Clustering
• Hierarchical Clustering
• Cluster Profiling