Python
Machine Learning
2025
ID: 1CP0715
4.Bank Profit or loss based on CEO Using of Machine Learning
Keywords:
Bank
Profit
Prediction,
Machine
Learning,
CEO
Attributes,
Random
Forest,
K-Nearest
Neighbors,
Financial
Analytics
Project Synopsis & Overview
This project uses machine learning to predict whether a bank is likely to report a profit or loss based on CEO-related attributes and financial indicators. Data preprocessing includes handling missing values, encoding categorical features, and scaling numerical values. K-Nearest Neighbors (KNN) and Random Forest classifiers are trained and evaluated using accuracy, precision, recall, and F1-score to support banking decisions effectively.
Complete Technical Specifications
| Project ID | 1CP0715 (DB ID: 715) |
| Project Title | 4.Bank Profit or loss based on CEO Using of Machine Learning |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning |
| IEEE Year | 2025 |
| Package Price | ₹6500 |
| Created Date | Nov 14, 2026 |
Project Price
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