It is crucial to advertise your product to the right group of customers whose needs closely match your product. This is called target marketing. To help achieve this goal, we developed 4 algorithms using the UCI bank marketing dataset.
The 4 used algorithms are:
- Naive Bayes Gaussian
- Decision Tree Classifier
- Random Forrest Classifier
- LightGBM
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Python version:
3.10.8 -
Pip version:
22.2.2
To install all dependencies, run:
pip install -r requirements.txt
Check out our notebook.ipnyb for all algorithms we implemented ⚡
The dataset used for this project is from UCI Machine Learning Repository.