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AutoML streamlines the entire machine learning pipeline, from feature engineering to model evaluation, freeing you from the manual labor involved in these tasks.

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CodeWithGauravRajput/JSON-parsed-automated-ML-modelling

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Overview

AutoML streamlines the entire machine learning pipeline, from feature engineering to model evaluation, freeing you from the manual labor involved in these tasks. With its user-friendly interface and powerful capabilities, you can quickly iterate through different models and configurations to find the best solution for your problem.

Installation

To install AutoML, simply clone the repository from GitHub and follow the instructions in the README file. You'll be up and running in no time!

Usage

Once installed, you can leverage AutoML's features through its intuitive interface. Whether you're tackling classification and regression tasks, AutoML has got you covered. just givng by a jsone file its give you report based on problem statement(classification and regression tasks).

Additional Resources

For further exploration and mastering of AutoML, check out the documentation and examples provided in the repository.

KNN.ipynb

Explore the power of AutoML through the KNN.ipynb file. Dive into the notebook to see how AutoML simplifies the implementation of Different Different algorithm, providing performance metrics at your fingertips.

AutoML_With_Json Web Application

Experience the convenience of AutoML through our web application, AutoML_With_Json. Simply run the app.py file and witness the magic of automated model generation and evaluation. With just a few clicks, you can unleash the potential of machine learning in your projects.

Screenshots

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Feel free to reach out if you have any questions or need assistance. Happy modeling with AutoML!

Open AutoML model on Hugging Face

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AutoML streamlines the entire machine learning pipeline, from feature engineering to model evaluation, freeing you from the manual labor involved in these tasks.

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