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MindsDB

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Training and evaluating your models are essential steps in any machine learning project. MindsDB provides intuitive and efficient mechanisms for both training and assessing your models to maximize their accuracy and performance. This guide explores the processes involved.

Discover how to train your models with various algorithms and evaluate their performance.

Training and evaluating MindsDB models

Once you've trained your MindsDB model, you're ready to make predictions on new data. This guide explains how to utilize your trained models to generate insights and predictions on unseen data points.

Learn how to use trained MindsDB models to generate predictions on new data.

Making predictions with MindsDB

MindsDB is a powerful machine learning platform built with a modular architecture that facilitates ease of use and scalability. This guide explores the key components of the MindsDB architecture and how they work together to provide a comprehensive machine learning experience.

Learn about the key components of MindsDB, including the engine, data manager, and model store.

MindsDB Core

Training and evaluating MindsDB models

Making predictions with MindsDB

Understanding MindsDB architecture