Neural Network Course
This course equips you with advanced skills in neural networks for tabular data applications. Delve into feature engineering techniques, model architecture design, hyperparameter tuning strategies, and comprehensive evaluation methods to develop and deploy accurate, dependable models that deliver significant business value in contemporary tech landscapes. Understand robust pipelines from data preparation to production rollout for maximum efficiency and reliability.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in constructing, training, and deploying precise tabular classification models with real-world user data. Master data handling, feature engineering for categorical and numeric data, effective data splitting, hyperparameter optimisation, and practical model tuning. Explore model evaluation, interpretation, calibration, and production deployment to deliver reliable, impactful models swiftly.
Elevify advantages
Develop skills
- Design effective tabular neural networks including MLPs, embeddings, and calibrated outputs efficiently.
- Optimise training processes professionally with hyperparameter tuning, schedulers, and batch sizing.
- Engineer robust features by encoding mixed data types, scaling numerical inputs, and creating meaningful signals.
- Construct reliable machine learning pipelines with proper data splitting, imbalance management, and experiment logging.
- Deploy production-ready models through metric interpretation, prediction explanations, and A/B testing planning.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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