Task: Implement a Naive Bayes Classifier for Mixed Categorical and Continuous Data
Task: Implement a Naive Bayes Classifier for Mixed Categorical and Continuous Data: a task in Terminal-Lego-15k (Harbor dataset). Implement a solution in Python using scikit-learn that handles a Naive Bayes classification model with both categorical and continuous features . The goal is to predict…
The task
Implement a solution in Python using scikit-learn that handles a Naive Bayes classification model with **both categorical and continuous features**. The goal is to predict customer gender based on a mix of categorical data (e.g., "Registered online", "Accepts email notifications") and continuous data (e.g., "Age",…
Part of PrimeIntellect/Terminal-Lego-15k.