Churn-Analysis-

The work uses Hopsworks for Feature store and creating Feature groups for Machine learning modeling using the Google Colab platform

Loading the data and feature Engineering Part 1

• Install packages

!pip install -U hopsworks --quiet

• Loading the Data
  • Read demography data
  • Read customer info data
  • Read Subscriptions data

Feature Engineering

• In this section you will perform feature engineering, such as converting textual features to numerical features and replacing missing values to 0s

Creating Feature Groups

• Customer information
• Customer demography
• Customer subscription

Part 2 Training Pipeline

• Select the features you want to train the model on.
• Preprocess of features.
• Create a dataset split for training and validation data.
• Load the training data.
• Train the model.
• Explore feature groups and views via the UI.

Part 3 Batch Inference