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.