Customer Satisfaction Prediction On Olist Brazillion Dataset
This project tries to predict customer satisfaction on the item they had ordered based
on the given data. This case study was converted into a binary classification task.
Various machine learning and deep learning models were used to accomplish this
task. The performance of these models was assessed using performance metrics such
as confusion matrices and the F1 score.
Check the link given below to find the blog which explains this project in detail :-
https://towardsdatascience.com/case-study-1-customer-satisfaction-prediction-on-olist-brazillian-dataset-4289bdd20076