This is a webapp to predict customer ads pull, developed as a part of course Data Mining.
The webapp predicts, if a customer would purchase the product with refernce to the advertisement, based on:
- Gender
- Age
- Estimated Salary
The predictor is based on the following algorithms:
- Random Forest
- Naive Bayes
- Decision Tree
- K-Nearest Neighbors
Clone the repository to install the source code.
git clone https://github.com/jigarWala/DM-miniproject.git
cd DM-miniproject
Then, install the requirements via package manager pip.
pip install -r requirements.txt
Run the Server
python3 routes.py
Type localhost:8000 in the browsers' address bar.
 Jigar Wala |
 Arvind Ganesh |
 Rahul Soni |
 Onkar Pande |