https://github.com/kmohamedalie/timeseries-with-lstm
Timeseries with Classical and Deep Learning techniques
https://github.com/kmohamedalie/timeseries-with-lstm
arima-model financial-data predictive-analytics rnn-lstm stock-price-prediction timeseries
Last synced: 8 months ago
JSON representation
Timeseries with Classical and Deep Learning techniques
- Host: GitHub
- URL: https://github.com/kmohamedalie/timeseries-with-lstm
- Owner: Kmohamedalie
- Created: 2023-04-23T19:16:12.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-08-20T11:23:52.000Z (about 2 years ago)
- Last Synced: 2025-01-02T15:32:05.279Z (9 months ago)
- Topics: arima-model, financial-data, predictive-analytics, rnn-lstm, stock-price-prediction, timeseries
- Language: Jupyter Notebook
- Homepage: https://github.com/Kmohamedalie/Timeseries-with-LSTM
- Size: 337 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Timeseries-with-LSTM
Timeseries with Classical and Deep Learning techniques
**[Wikipedia](https://en.wikipedia.org/w/index.php?title=Time_series&oldid=1166537753&action=edit):**
In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order.
Most commonly, a time series is a sequence taken at successive equally spaced points in time.
Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides,
counts of sunspots, and the daily closing value of the Dow Jones Industrial Average
**[Long Short-Term Memory (LSTM)](https://it.mathworks.com/discovery/lstm.html#:~:text=A%20long%20short%2Dterm%20memory,between%20time%20steps%20of%20data.):**
A long short-term memory network is a type of recurrent neural network (RNN).
LSTMs are predominantly used to learn, process, and classify sequential data because these networks
can learn long-term dependencies between time steps of data. Common LSTM applications include sentiment analysis,
language modeling, speech recognition, and video analysis.
### **Tasks:**
[US GDP Prediction](https://github.com/Kmohamedalie/Timeseries-with-LSTM/blob/master/Predicting%20USA%20GDP%20with%20LSTM.ipynb)
[Retail sales prediction](https://github.com/Kmohamedalie/Timeseries-with-LSTM/blob/master/Timeseries%20forecast%20with%20LSTM.ipynb)