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AutoML
GouravSinghThakur/AutoML
AutoML is a machine learning model from GouravSinghThakur. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sklearn. The card lists the license as mit.
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Public
Updated Feb 27, 2025
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.py27 KB · 91%
At a glance
- Library
- sklearn
- License
- mit
- Access
- Public
- Created
- Feb 27, 2025
- Updated
- Feb 27, 2025
- SHA
- 2d8bdaf9
Base models
Model card
From the Hugging Face model README
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
- Clone this repository
- Install the requirements:
pip install -r requirements.txt - Run the application:
streamlit run main.py
- Library
- sklearn
- License
- mit
- Languages
- en
- Created
- Feb 27, 2025
- Updated
- Feb 27, 2025