Dry beans classification problem

This repository implements and compares 4 different machine learning algorithms to classify different dry beans.

1. Random Forest
2. SVM
3. KNN
4. Conv1D Deep Learning

Dataset can be found here

Local setup

Python configuration

python==3.11.7

Python package configuration

See requirements.txt file

Steps to setup project locally

1. Make sure that you have correct python version installed. It may not work, if python version is different.
2. Create a virtual environtment using python3 -m venv .venv
3. Activate the virtaul environment using source .venv/bin/activate
4. Install all the packages in requirements.txt using pip install -r requirements.txt
5. Select existing .venv python environment as the kernel for the main.ipynb Jupyter notebook.
6. Run cells in main.ipynb jupyter notebook