Machine Learning Web App

Overview

This is a Streamlit-based web application that allows users to train and evaluate multiple machine learning classifiers on a mushroom dataset. The classifiers available include:

• Support Vector Machine (SVM)
• Logistic Regression
• Random Forest
• XGBoost
• K-Nearest Neighbors (KNN)

Features

• Users can upload and process a dataset.
• Provides various machine learning classifiers.
• Allows users to tune hyperparameters for better performance.
• Visualizes results with metrics like:
  • Confusion Matrix
  • ROC Curve
  • Precision-Recall Curve

Installation

Prerequisites

Ensure you have Python installed (>=3.7). Install dependencies using:

Credits

Built it from the Coursera course https://www.coursera.org/learn/machine-learning-streamlit-python/home/week/1