https://github.com/aqueeqazam/stock-price-prediction-using-artificial-neural-networks

This project builds and trains a regression model to predict the next day's stock closing price using historical market data. The model is based on a fully connected deep neural network (FCNN) built with TensorFlow/Keras.
https://github.com/aqueeqazam/stock-price-prediction-using-artificial-neural-networks

ann multiple-linear-regression simple-regression

Last synced: 5 months ago
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This project builds and trains a regression model to predict the next day's stock closing price using historical market data. The model is based on a fully connected deep neural network (FCNN) built with TensorFlow/Keras.

• Host: GitHub
• URL: https://github.com/aqueeqazam/stock-price-prediction-using-artificial-neural-networks
• Owner: AqueeqAzam
• License: other
• Created: 2025-04-09T14:13:50.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-04-21T15:04:21.000Z (7 months ago)
• Last Synced: 2025-06-05T16:47:34.662Z (5 months ago)
• Topics: ann, multiple-linear-regression, simple-regression
• Language: Jupyter Notebook
• Homepage:
• Size: 1010 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# regression-using-aan-industry-special

# 📈 Stock Price Prediction (Regression)

This project uses a deep learning model to predict the next day's stock closing price based on the opening price.

## 💡 Features

- Preprocessing with `MinMaxScaler`

- Neural Network using Keras

- Evaluation with RMSE and R²

- Custom Predictions

## 🚀 Run it

```bash

pip install -r requirements.txt

python main.py