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 …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
[HTML][HTML] OPTIMIZING RETAIL DEMAND FORECASTING: A PERFORMANCE EVALUATION OF MACHINE LEARNING MODELS INCLUDING LSTM AND GRADIENT …
MS Shak, MSA Mozumder, MA Hasan, AC Das… - The American Journal …, 2024 - inlibrary.uz
Effective demand forecasting is vital for inventory management in retail. This study evaluates
five machine learning models—Linear Regression (LR), Decision Tree Regressor (DTR) …
five machine learning models—Linear Regression (LR), Decision Tree Regressor (DTR) …
A Comparative Study of Machine Learning Models for Predicting Customer Churn in Retail Banking: Insights from Logistic Regression, Random Forest, GBM, and …
Customer churn poses a significant challenge in the retail banking sector, leading to
substantial financial losses and undermining long-term growth. This study explores the …
substantial financial losses and undermining long-term growth. This study explores the …
[HTML][HTML] COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS FOR PREDICTING CYBERSECURITY ATTACK SUCCESS: A PERFORMANCE …
MA Sayed, MSU Sarker, A Al Mamun, N Nabi… - The American Journal …, 2024 - inlibrary.uz
This study explores the effectiveness of various machine learning algorithms in predicting
the success of cybersecurity attacks by analyzing historical attack data. We evaluated five …
the success of cybersecurity attacks by analyzing historical attack data. We evaluated five …
[HTML][HTML] SENTIMENT ANALYSIS OF CUSTOMER FEEDBACK IN THE BANKING SECTOR: A COMPARATIVE STUDY OF MACHINE LEARNING MODELS
RJ Bhuiyan, S Akter, A Uddin, MS Shak… - The American Journal …, 2024 - inlibrary.uz
This study investigates the application of sentiment analysis to customer feedback in the
banking sector, utilizing natural language processing (NLP) techniques and machine …
banking sector, utilizing natural language processing (NLP) techniques and machine …