https://github.com/abdulhadi806/sales-regression

Sales model using Linear Regression for predicting Sales, the model has been feed dataset of around 2000 observations/rows and the r2 score is around 84%.
https://github.com/abdulhadi806/sales-regression

Last synced: 7 days ago
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Sales model using Linear Regression for predicting Sales, the model has been feed dataset of around 2000 observations/rows and the r2 score is around 84%.

• Host: GitHub
• URL: https://github.com/abdulhadi806/sales-regression
• Owner: AbdulHadi806
• License: mit
• Created: 2024-02-26T18:21:33.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-02-28T20:11:54.000Z (9 months ago)
• Last Synced: 2024-02-29T18:37:50.411Z (9 months ago)
• Language: Jupyter Notebook
• Size: 599 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Sales Regression Model by Abdul Haadi(Beginners level)

## About Model

Model is created using Linear Regression Algorithm for predicting Sales. The model is trained on a opensource dataset. EDA is also done so no worries. You are free to use the model :)

## Technologies Used

- Python

- Sciket-learn

- Pandas

- Seaborn

## Running the Model

To run the model included in this repository, follow these simple steps:

1. **Clone the Repository:**

    ```bash

    git clone 

    ```

    Replace `` with the URL of your GitHub repository.

2. **Set Up the Environment:**

    - Ensure you have the necessary dependencies installed. You can typically find these listed in a `requirements.txt` file or within the documentation.

    - Install any required libraries using your preferred package manager, such as pip or conda.

3. **Launch Jupyter Notebook or Preferred IDE:**

    - Navigate to the cloned repository directory.

    - Open your Jupyter Notebook or preferred Integrated Development Environment (IDE) such as VSCode, PyCharm, or Spyder.

4. **Run the Model:**

    - Locate the main file or notebook containing the model code.

    - Execute the code cells or run the script.

## About Me:

I'm a young and passionate programmer with a love for continual growth and learning. Born on December 20, 2005, I'm deeply fascinated by the realms of machine learning and artificial intelligence, 

which is why I'm transitioning from fullstack web development to AI. As of February 9, 2024, I'm eager to witness the progress I'll make in the upcoming months.

Feel free to reach out to me via email at [email protected] or connect with me on LinkedIn: [Abdul Haadi](https://www.linkedin.com/in/abdul-haadi-fullstack/).

[ML Notes for beginners](https://github.com/AbdulHadi806/Machine-learning-Basic-notes).