<ul><li>The Model Development and Training Phase is the core engine of any Machine Learning project.</li><li>It involves selecting, building, training, and optimizing the model to ensure desired accuracy and efficiency benchmarks.</li><li>Key considerations during this phase include experiment tracking, model validation, testing, and performance evaluation.</li><li>The next critical step in the ML project lifecycle is the Deployment and Monitoring Phase.</li></ul>

Model Development and Training Phase of a Machine Learning Project

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