Welcome to the README of Machine Learning: Image Classification.

The Dataset 📈

This repository uses dataset available here.

The Devs ✒️

This repository is developed as Final Assignment of Belajar Machine Learning untuk Pemula module, a part of Data Science learning path of Dicoding awarded by IDCamp 2023.

The Problems 📝

This repository is focusing on these following bulletpoints:

• Data split : 60% train and 40% validation
• Commencing image augmentation
• Utilizing Image Data Generator
• Developing sequential model
• Training duration not more than 30 minutes
• 85% of minimum accuracy
• Able to precisely predict loaded image

The Libraries 📚

• numpy library to carry out numerical computation such as sets, arrays, multidimension matrixes, and vectors
• pandas library to undergo data processing, analysing, and manipulation using dataframe
• matplotlib library to perform visualization using plotting
• os library to execute loading data
• zipfile library to extract file
• skicit learn library to split dataset
• tensorflow library to generate image
• keras library to displaying image

---

Copyright © Nicko Arya Dharma 2023 All Rights Reserved