This Repository will help you to understand Different Classifier like:
- k-nearest neighbors
- Support Vector Classification
- Gradient Boosting
- AdaBoost classifier
- Multi-layer Perceptron classifier
- Random Forest
User can change the hyper-parameter of every classifier to check how it effect the accuracy.
User can apply these Classifier on different dataset:
- Iris Dataset
- Breast Cancer
- Wine dataset
The following bash code will install all the necessary dependencies.
git clone https://github.com/Arpitkamal/Streamlit-App.git
cd Streamlit App
pip install -r requirements.txt
To run the application go the downloaded Directory and run this command
streamlit run main.py