Gather relevant datasets and explore their characteristics to understand the features that will be used for training machine learning models.
Machine learning is a subset of artificial intelligence that enables computers to learn and improve from experience, allowing them to make predictions or decisions based on data patterns.
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Gather relevant datasets and explore their characteristics to understand the features that will be used for training machine learning models.
Choose an appropriate machine learning algorithm, train the model with the prepared data, and fine-tune parameters for optimal performance.
Assess the trained model's performance using validation datasets, ensuring it generalizes well to new, unseen data and avoids overfitting.
Deploy the trained machine learning model into production, monitor its performance, and iterate on the model based on feedback and evolving data patterns for ongoing improvement.
