https://github.com/axelseancp/apple-stock-forecast

A project from dicoding Machine Learning Intermediate Class with data Time Series
https://github.com/axelseancp/apple-stock-forecast

forecasting-time-series machine-learning python tensorflow time-series

Last synced: about 2 months ago
JSON representation

A project from dicoding Machine Learning Intermediate Class with data Time Series

• Host: GitHub
• URL: https://github.com/axelseancp/apple-stock-forecast
• Owner: AxelSeanCP
• Created: 2023-12-16T16:16:10.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-08T15:59:20.000Z (about 2 years ago)
• Last Synced: 2025-04-07T07:53:38.613Z (about 1 year ago)
• Topics: forecasting-time-series, machine-learning, python, tensorflow, time-series
• Language: Jupyter Notebook
• Homepage:
• Size: 1.43 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# TimeSeries-APPLE-Stock-Forecast

A project from dicoding Machine Learning Intermediate Class with Time Series data

## Traditional Approach

![trend_forecast](images/trend_forecast.png)

![forecast](images/forecast.png)

## Neural Networks Approach

![nn_train_forecast](images/nn_train_forecast.png)

![nn_test_forecast](images/nn_test_forecast.png)

## Dataset

- https://www.kaggle.com/datasets/varpit94/apple-stock-data-updated-till-22jun2021/data

- this is apple stock dataset

- currency is in USD

- available at daily level

- updated till 2021

## Approach

- [Neural Networks](Timeseries_Model.ipynb)

- [Traditional Machine Learning](Apple_Forecast.ipynb)

## Criteria

- free dataset with the minimum of 1000 sample

- must use LSTM

- validation set 20% from total dataset

- use model Sequential

- must use learning_rate on optimizer

- MAE < 10% of the data scale

### Optional Criteria (5*)

- dataset minimum 10000 sample

> note: this project has been executed, you only need to look