Forum MenúNavegación del ForoForoActividadMigajas del Foro - Te encuentras aquí:Proyectos Colaborativos del Estado de SinaloaLA BASURA: FORO IWhat is Feature Engineering?Publicar MensajePublicar Mensaje: What is Feature Engineering? <blockquote><div class="quotetitle">Citando a Invitado del 18 octubre, 2024, 8:23 am</div><h3><span style="vertical-align: inherit"><span style="vertical-align: inherit">What is Feature Engineering?</span></span></h3> <span style="vertical-align: inherit"><span style="vertical-align: inherit">Feature engineering is the process of using domain knowledge to create, modify, or select features (input variables) that improve the performance of machine learning models. It involves transforming raw data into meaningful features that can better represent the underlying problem to the model. This can include:</span></span> <ol> <li><strong><span style="vertical-align: inherit"><span style="vertical-align: inherit">Creating New Features</span></span></strong><span style="vertical-align: inherit"><span style="vertical-align: inherit"> : Combining existing features or deriving new ones based on domain insights (eg, calculating age from a birthdate).</span></span></li> <li><strong><span style="vertical-align: inherit"><span style="vertical-align: inherit">Transforming Features</span></span></strong><span style="vertical-align: inherit"><span style="vertical-align: inherit"> : Applying mathematical transformations (eg, logarithmic, polynomial) to make the data more suitable for modeling.</span></span></li> <li><strong><span style="vertical-align: inherit"><span style="vertical-align: inherit">Encoding Categorical Variables</span></span></strong><span style="vertical-align: inherit"><span style="vertical-align: inherit"> : Converting categorical data into numerical formats (eg, one-hot encoding, label encoding).</span></span></li> <li><strong><span style="vertical-align: inherit"><span style="vertical-align: inherit">Normalizing/Standardizing</span></span></strong><span style="vertical-align: inherit"><span style="vertical-align: inherit"> : Scaling features to a similar range to ensure that no single feature disproportionately influences the model.</span></span></li> <li><strong><span style="vertical-align: inherit"><span style="vertical-align: inherit">Handling Missing Values</span></span></strong><span style="vertical-align: inherit"><span style="vertical-align: inherit"> : Filling in or removing missing data points in a way that maintains the integrity of the dataset.</span></span></li> </ol> <span style="vertical-align: inherit"><span style="vertical-align: inherit">In summary, feature engineering plays a critical role in the success of machine learning models. It directly influences their performance, interpretability, and efficiency, making it a vital step in the modeling process.</span></span> <span style="vertical-align: inherit"><span style="vertical-align: inherit">In summary, a </span></span><a href="https://www.sevenmentor.com/machine-learning-course-in-pune.php"><strong><span style="vertical-align: inherit"><span style="vertical-align: inherit">Machine Learning course in Pune</span></span></strong></a><span style="vertical-align: inherit"><span style="vertical-align: inherit"> can equip you with essential skills, practical experience, and valuable industry connections, setting you up for a successful career in this rapidly evolving field.</span></span></blockquote><br> Cancelar
