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MLTT Assignment

  1. California Housing Price
  2. Customer Churn

California Housing Price

The notebook consists of 3 Major sections

  • Dataset info
  • Identifying Attributes to be processed
  • Pipeline Implementation using custom transformers

Customer Churn

  • The notebook consists of application of KMeans on dataset and adding a Cluster Column.
  • The resulting cluster values are compared to that of churn.
  • Correlation matrix is computer to analyze important features and how they affect Churn.