Skip to content

HanugaFathurC/MLP-Clustering-Classification-Dicoding

Repository files navigation

Project Submission for Proyek Analisis Data - Dicoding

4 Starts Rating

About This Project

This project is learning project for me to learn Clustering and Classification from dicoding.

Data

  1. Source of Dataset: This dataset is obtained from Kaggle.
  2. 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.

Learning Obtained

  1. Clustering: Clustering the dataset to find the patterns in the data. Then, make it as the label.
  2. Classification: Using the clustering result as the label, I classify the data based on that label.

How to run

  1. Clone this repository
  2. Create a virtual environment
  3. Install the requirements
  4. Run the notebook

About

Repository for submission Belajar Machine Learning untuk Pemula from Dicoding

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •