Overview
HydraML is an Automated Machine Learning (AutoML) platform designed to simplify and accelerate the machine learning lifecycle. It automates tasks such as data preprocessing, feature engineering, model selection, hyperparameter tuning, and model deployment. The platform caters to both beginners and experienced data scientists, offering a user-friendly interface and advanced customization options. HydraML supports various machine learning tasks, including classification, regression, and time series forecasting. It aims to democratize AI by making advanced machine learning techniques accessible to a wider audience, enabling businesses to leverage data insights more effectively. It integrates with various data sources and cloud platforms, enhancing its versatility and scalability. Includes an evaluation module to give the user detailed results of experiments.