This project is learning project for me to learn Clustering and Classification from dicoding.
- Source of Dataset: This dataset is obtained from Kaggle.
- About Dataset: The dataset contains 2512 samples of transaction data, including transaction attributes. For example: customer demographics and usage patterns. Each data offers insights into transaction behavior for analysing financial security and fraud detection applications.
- Clustering: Clustering the dataset to find the patterns in the data. Then, make it as the label.
- Classification: Using the clustering result as the label, I classify the data based on that label.
- Clone this repository
- Create a virtual environment
- Install the requirements
- Run the notebook