<h3 class="uui-heading-subheading">Data Preparation and Preprocessing</h3><div class="jtbd-card"><div class="jtbd-card-single">Cleaning and normalizing datasets for model training.</div><div class="jtbd-card-single">Handling missing values through imputation or deletion.</div><div class="jtbd-card-single">Feature selection and engineering to improve model performance.</div><div class="jtbd-card-single">Encoding categorical variables into numerical format.</div></div><h3 class="uui-heading-subheading">Model Development and Training</h3><div class="jtbd-card"><div class="jtbd-card-single">Designing neural network architectures for specific tasks.</div><div class="jtbd-card-single">Implementing training loops and optimization algorithms.</div><div class="jtbd-card-single">Conducting hyperparameter tuning for model improvement.</div><div class="jtbd-card-single">Validating model performance using cross-validation techniques.</div></div><h3 class="uui-heading-subheading">Model Evaluation and Optimization</h3><div class="jtbd-card"><div class="jtbd-card-single">Generating performance metrics such as accuracy and F1 score.</div><div class="jtbd-card-single">Identifying overfitting through learning curve analysis.</div><div class="jtbd-card-single">Running A/B tests to compare model effectiveness.</div><div class="jtbd-card-single">Implementing techniques for model interpretability and explainability.</div></div><h3 class="uui-heading-subheading">Deployment and Maintenance</h3><div class="jtbd-card"><div class="jtbd-card-single">Containerizing models using Docker for deployment.</div><div class="jtbd-card-single">Setting up CI/CD pipelines for automated deployments.</div><div class="jtbd-card-single">Monitoring model performance in production environments.</div><div class="jtbd-card-single">Updating models with new data or improved algorithms.</div></div>