Customer Retention
Customer Retention
Project Description
This project was used to examine customer data and predict customer retention of taxi riders with the predictive model resulting in a 76% accuracy.
Project Date
May, 2020
Techniques
Data Wrangling, Data Manipulation, Exploratory Data Analysis (EDA), Random Forest, Neural Networks
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GitHub Repository