About this document
Data Scientist Home Task by cirada5232 is a document available to read on EtoBox.
The document outlines a take-home assignment for a Data Scientist to identify 15 interesting calls from a dataset by separating it into four metrics: Overtalk, Talk, Style, and Sentiment. It details the process of removing outliers and selecting main features from each metric to analyze trends, ultimately categorizing the calls into normal and abnormal types based on their characteristics. The findings highlight relationships between overtalk, silence, and sentiment trends in the calls.
- Author
- cirada5232
- Language
- EN