This project focuses on using Exploratory Data Analysis (EDA) to address real-world challenges in the banking and financial sector.

Problem Statement: Loan providers often face difficulties due to incomplete credit histories, making risk assessment challenging. This project uses EDA to analyze loan application data and improve decision-making processes.

Business Challenges: - Business Loss: Not approving qualified applicants can result in lost opportunities.
- Financial Risk: Approving loans to high-risk clients may lead to financial losses.

Data Details: The dataset includes: - `application_data.csv`: Information about clients at the time of application.
- `previous_application.csv`: Data on previous loan applications and their outcomes.
- `columns_description.csv`: A dictionary of variables used in the dataset.

Project Goals: - Identify indicators of loan default.
- Enhance risk assessment and improve decision-making processes.