Effective Data Management using Iterative Approach in Data Systems

Abstract

In our innovative approach to customer service for household appliance repair, we harness cutting-edge technology to provide efficient and effective solutions to our valued customers. This project not only addresses the repair of household appliances but also revolutionizes the customer service experience. Feature engineering comes into play, creating relevant features such as time since the last maintenance, cumulative operating hours, error logs, temperature readings, and vibration levels. This ensures a comprehensive dataset with features reflective of both the current state of the equipment and indicators of potential issues. The subsequent application of feature selection techniques involves a multi-faceted approach. Filter methods, including correlation coefficients and statistical tests such as chi-square, pinpoint features highly correlated with the target variable, optimizing the system's predictive capabilities.