A data analytics method based on data science and machine learning for bank risk prediction in credit applications for financial institutions

Matemáticas

• Banks 90%
• Machine Learning 81%
• Prediction 59%
• Customers 50%
• Data analysis 44%
• Default Risk 43%
• Banking 39%
• Random Forest 36%
• K-nearest Neighbor 33%
• Risk Analysis 33%
• Support Vector Machine 31%
• Genetic Algorithm 26%
• Business 26%
• Optimise 25%
• Neural Networks 23%
• Evaluate 19%
• Metric 16%

Ingeniería y ciencia de los materiales

• Data Science 100%
• Banking 84%
• Data Analytics 81%
• Machine learning 54%
• Predictive analytics 32%
• Risk analysis 26%
• Random forests 26%
• Industry 21%
• Support vector machines 19%
• Genetic algorithms 17%
• Neural networks 14%