Hyperparameter Tuning
<p>Machine Learning is an academic field with its own particular terminology. Data scientists refer to the values determined from the training features as <em>parameters</em>, so a different term is required for values that are used to configure training behavior but which are <em>not</em> derived from the training data — hence the term <em>hyperparameter</em>.</p>
<p>Hyperparameters are one of the key things in the machine learning as they influence accuracy, readiness of your model to face real life scenario. Hence having a understanding of hyperparameter is a must, and in my opinion one can have considerably good understanding of hyperparameter while performing hyperparameter tuning.</p>
<p><a href="https://medium.com/@divyapratap29/hyperparameter-tuning-e9521d3e3a50"><strong>Read More</strong></a></p>