Sales-Prediction-Analysis

The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales. So the idea is to find out the properties of a product, and store which impacts the sales of a product.

Dataset link:- https://www.kaggle.com

Setup

Step 1: Install Python

Ensure Python is installed on your system. You can download it from python.org. It's recommended to use Python 3.x (e.g., Python 3.8 or Python 3.9).

Step 2: Create and Activate Virtual Environment

1. Navigate to your project directory in the terminal:

   cd path/to/your/project
   

2. Create a new virtual environment (replace myenv with your preferred name):

   virtualenv myenv
   

3. Activate the virtual environment:

   • On Windows:

     myenv\Scripts\activate
     

   • On macOS and Linux:

     source myenv/bin/activate
     

Step 3: Install requirement.txt

1. It will install all the packages that are required for this project:

   pip install -r requirements.txt
   

Step 4: Apply Migration

1. Make initial migrations for the Django project:

   python manage.py makemigrations
   

2. Apply migrations to set up your database:

   python manage.py migrate
   

Step 5: Change model location

1. The machine learning model (.sav) location inside django views.py need to be change according to your file system.

Step 6: Run Django Development Server

1. Start the Django development server:

   python manage.py runserver
   

2. Open your web browser and go to http://127.0.0.1:8000/ or http://localhost:8000/ to see your Django project running locally.

Additional Notes

• Project Structure: Ensure your project files are organized appropriately for a Django project. You may need to create apps (python manage.py startapp appname) within your project for specific functionalities like the stroke prediction analysis.

• Database Configuration: Django uses SQLite by default. Modify settings.py if you want to use a different database like PostgreSQL or MySQL.