README.md

metadata

license: mit
language:
  - en
metrics:
  - accuracy
  - roc_auc
  - precision
  - f1
  - confusion_matrix
base_model:
  - Gourav18/AutoML
new_version: Gourav18/AutoML
library_name: sklearn
tags:
  - code
  - AutoMl

AutoML

AutoML Application

An automated machine learning application built with Streamlit that helps users to:

• Load and preprocess data
• Train multiple ML models (Logistic Regression, SVM, Random Forest)
• Automatically select the best model
• Visualize model performance
• Make predictions with the trained model

Features

• Data Upload & Analysis: Upload CSV or Excel files, view statistics, and visualize correlations
• Automated Data Preprocessing: Handle missing values and categorical encoding
• Model Training: Train multiple models with hyperparameter tuning
• Model Visualization: Compare model performance with various metrics
• Prediction: Make predictions using the trained model

Setup

1. Clone this repository
2. Install the requirements:

   pip install -r requirements.txt
   

3. Run the application:

   streamlit run main.py