Clustering

Contents

• Exploratory Data Analysis (EDA)
  • Exploring
    • the dataset
    • missing values
    • duplicate records
    • features
    • outliers
    • correlations
• Data pre-processing
  • Data cleansing
    • Treating
      • missing data
      • duplicate records
      • outliers
  • Feature scaling
  • Dimensionality reduction
    • Principal Component Analysis (PCA)

Implementation

• k-Means clustering
  • Elbow method
• Hierarchical clustering
  • Generating Dendrograms

Tools

• Google Colabs
• Python

Source Code

• https://drive.google.com/drive/folders/1SfC1FNYiskgf4EKyqqtk7MRfOO4N5V_K?usp=sharing