Predict future stock prices using a pre-trained LSTM deep learning model. Upload a CSV file with historical stock data or use a sample to visualize trends and forecast closing prices.
-
Updated
Sep 30, 2025 - Python
#
lstmmodel
Here are 3 public repositories matching this topic...
-
Updated
Jan 22, 2024 - Jupyter Notebook
This repository contains analysis and predictive modeling of household electricity consumption using Python. It includes data cleaning, exploratory data analysis (EDA), time series forecasting (ARIMA, SARIMA, LSTM), and model evaluation to optimize energy usage.
data-science data time-series modeling exploratory-data-analysis artificial-intelligence artificial-neural-networks evaluation-metrics long-short-term-memory datacleaning arima-forecasting dataanalytics timeseries-forecasting lstmmodel
-
Updated
Jul 6, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the lstmmodel topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the lstmmodel topic, visit your repo's landing page and select "manage topics."