Enhancing Customer Satisfaction Analysis Using Advanced Machine Learning Techniques in Fintech Industry
Customer satisfaction (CSAT) is vital in service and marketing, indicating how well products
or services meet customer expectations. Traditional CSAT methods like the American …
or services meet customer expectations. Traditional CSAT methods like the American …
Optimizing Customer Segmentation in the Banking Sector: A Comparative Analysis of Machine Learning Algorithms
Customer segmentation is a critical strategy in the banking sector, enabling banks to tailor
their products and services to meet the diverse needs of their customer base. This study …
their products and services to meet the diverse needs of their customer base. This study …
Advancements in Retail Price Optimization: Leveraging Machine Learning Models for Profitability and Competitiveness
Retail price optimization is essential for maximizing profitability and maintaining
competitiveness in today's dynamic retail landscape. This study addresses retail price …
competitiveness in today's dynamic retail landscape. This study addresses retail price …
Optimizing E-Commerce Pricing Strategies: A Comparative Analysis of Machine Learning Models for Predicting Customer Satisfaction
Optimizing pricing strategies in e-commerce through machine learning is crucial for
enhancing customer satisfaction and achieving business success. This study evaluates the …
enhancing customer satisfaction and achieving business success. This study evaluates the …
COMPARATIVE ANALYSIS OF MACHINE LEARNING TECHNIQUES FOR ACCURATE LUNG CANCER PREDICTION
Lung cancer is a major global health concern, being one of the most common and fatal
cancers. Accurate early detection and prediction of lung cancer are crucial for improving …
cancers. Accurate early detection and prediction of lung cancer are crucial for improving …
Credit risk assessment using statistical and machine learning: Basic methodology and risk modeling applications
This study evaluates the effectiveness of statistical and machine learning models in credit
risk assessment, comparing traditional methods like logistic regression with advanced …
risk assessment, comparing traditional methods like logistic regression with advanced …
Methods of social network texts analysis for a psychometric model of personal behavior
N Prokopyev, P Ustin, F Gafarov… - BIO Web of …, 2024 - bio-conferences.org
The development of technologies for predicting personality behavior is one of the priority
directions for improving the diagnostic apparatus of psychology. The integration of …
directions for improving the diagnostic apparatus of psychology. The integration of …