Cloudeka2024-StockPriceTimeSeries

Welcome to the README of Machine Learning: Developing Machine Learning Model Using Time Series Data.

The Dataset 📈

This repository uses dataset available here.

The Devs ✒️

This repository is developed as Final Assignment of Belajar Pengembangan Machine Learning module, a part of Machine Learning learning path of Dicoding awarded by Lintasarta Cloudeka Digischool 2024.

The Problems 📝

This repository is focusing on these following bulletpoints:

• Minimum 1,000 samples for dataset
• Data split : 80% train and 20% validation
• Developing sequential model
• Commencing LSTM model within the model architecture
• Utilizing learning rate within optimizer
• Training duration not more than 30 minutes
• MAE accuracy must be less than 10% of data scales

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 display image
• nltk library to commence text preprocessing

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