derekegenti/linear-regression-deep-learning-model

A deep learning model employing linear regression to uncover intricate patterns and relationships within data, enabling accurate predictions and precise estimation. Harnessing the power of neural networks, it maximizes the potential of linear regression for enhanced performance and advanced modeling.

Linear-Regression-Deep-Learning-Model

A deep learning model employing linear regression to uncover intricate patterns and relationships within data, enabling accurate predictions and precise estimation. Harnessing the power of neural networks, it maximizes the potential of linear regression for enhanced performance and advanced modeling.

##Link to the dataset- https://archive.ics.uci.edu/ml/machine-learning-databases/00616/Tetuan%20City%20power%20consumption.csv

Features

• Implements deep learning techniques to enhance linear regression modeling
• Unveils intricate patterns and relationships within the data
• Enables accurate predictions and precise estimation
• Supports advanced data analysis and modeling tasks

Requirements

• Python 3.x
• TensorFlow
• Matplotlib
• NumPy
• Pandas

Installation

1. Clone the repository: git clone https://github.com/your-username/deep-learning-linear-regression.git
2. Navigate to the project directory: cd deep-learning-linear-regression
3. Install the required dependencies: pip install -r requirements.txt

Contributing

Contributions are welcome! If you encounter any issues or have suggestions for improvement, please feel free to submit a pull request or open an issue.

License

This project is licensed under the MIT License.

Acknowledgments

This project was inspired by the need for advanced linear regression modeling and the potential of deep learning techniques in data analysis. I acknowledge the contributions of the open-source community and various libraries used in this project.