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AutoML Forge is an end-to-end AutoML platform designed to simplify the machine learning workflow by automating key stages from data preparation to model evaluation.
The platform allows users to upload their datasets and build machine learning models without manually handling every step of the traditional ML pipeline.
Key Features
Automated data preprocessing and cleaning
Automatic feature handling and transformation
Classification and regression workflows
Anomaly detection
Model comparison and evaluation
Automated model selection
Hyperparameter optimization
Performance metrics and visualizations
Model prediction and inference
Easy-to-use interactive interface
Tech Stack
Python · PyCaret · FastAI · Scikit-learn · Pandas · NumPy · Streamlit
The project focuses on making machine learning more accessible while reducing repetitive experimentation and development time. It demonstrates practical experience in machine learning automation, model evaluation, data preprocessing, and building AI-powered applications.
Role: AI/ML Developer
Project Type: Machine Learning / AutoML / Data Science
Impressive to see automated data preprocessing and cleaning built into AutoML Forge - eliminating that tedious step speeds up experimentation dramatically. The integrated model comparison and evaluation visualizations make it easy to spot the best performer quickly.
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