GitHub / nitin6753 / Customer_Satisfaction_Prediction
The airline is interested in predicting whether a future customer would be satisfied with their services given previous customer feedback about their flight experience. A decision tree was modelled to predict whether or not a customer will be satisfied with their flight experience.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitin6753%2FCustomer_Satisfaction_Prediction
PURL: pkg:github/nitin6753/Customer_Satisfaction_Prediction
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 17.2 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 12 months ago
Topics: confusion-matrix, data-cleaning, decision-trees, exploratory-data-analysis, f1-score, feature-importance, gridsearchcv, hyperparameter-tuning, machine-learning