Analysing Financial Data
This workflow is designed to perform various data processing tasks such as data cleaning, transformation, and analysis.
To run this workflow, you need to have Alteryx Designer installed on your machine.
German Credit - Also a part Banking and Financial Services Starter kit by Alteryx
## Data Preprocessing
- **Credit Details Input**: Initial input of credit-related data. (German_credit.jpeg)
- **Remove Rows Not Required Columns**: Cleansing of unnecessary information from the dataset.
- **Applying Business Logic/Rules**: Implementation of specific business rules or logic tailored to requirements.
- **Handling Missing Values/Interpreting Data**: Addressing missing entries in data and interpreting it for further processing.
## Model Training
- **Split Data into Train & Test**: Division of dataset into training and testing sets for model evaluation.
- **Decision Tree**: A machine learning model focused on using decision trees for prediction.
- **Random Forest**: An ensemble learning method combining multiple decision trees.
- **Boosted Model**: Another machine learning model, likely using gradient boosting.
## Model Comparison
- Results from all three models are compared to select the best predictive model.
