ML AutoPilot 🛠️✈⚙️

https://huggingface.co/spaces/neuromindlabs/AUTOML

Streamline the model creation process with our user-friendly, no-code interface for Automated Machine Learning. Leverage built-in functionalities to address common machine learning tasks such as classification and regression, enabling seamless handling of large datasets and enhancement of model scores.

Project Deployment

The project is currently hosted with the help of Hugging Face Spaces. You can access the live version of the application through this link https://huggingface.co/spaces/neuromindlabs/AUTOML.

Key Features

• Data Analysis: Generates a detailed report with key statistics and insights.
  
• Model Training: Automates model selection, training, and tuning.
  
• Model Export: Prepares and exports the trained model for local use.
  
• Performance Reporting: Provides metrics like accuracy and F1-score for evaluation.
  

Run Locally

Clone the project

   git clone https://github.com/neuromindlabs/AutoML.git

Open Terminal:

Requirements:

Install requirements

  pip install -r requirements.txt

Launch App:

Launch the streamlit app by running the follwoing command in your project folder:

  streamlit run app.py

Screenshots

Upload Dataset

Analyse EDA Report

Model Training

Download Trained Model