Skip to content

classic1931/Time-Series-Forecasting-using-RNNs

View on GitHub ↗Related repositories →

Make predictions about Apple's closing stock prices with LSTM, Bidirectional RNN, and Simple RNN models. We utilize GridSearchCV for hyperparameter tuning and historical stock data from Yahoo Finance. From 1980 to 2024, 10,935 rows are included in the dataset. Tools: Google Colab, TensorFlow, and Keras.

active 2024-05-142024-05-14 (UTC)

Complete coverage26,730 / 26,730 hourly files (100%) · 2 absent upstream2023-08-152026-09-01 (UTC)
Events
5
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-05-14 to 2024-05-14. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
jwu23-stack1100

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.