Machine Learning Development Course
This course teaches practical machine learning development, from data preparation and model training to deployment and monitoring, using Python and scikit-learn for real-world applications.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Machine Learning Development Course shows you how to source, clean, and engineer customer data, then train, tune, and compare binary classifiers using Python and scikit-learn. You will learn robust validation, business-focused metrics, threshold selection, and model interpretation, then package models into APIs, ensure reproducibility, meet privacy requirements, and monitor performance after deployment for reliable, real-world impact.
Elevify advantages
Develop skills
- Build robust ML pipelines: clean data, engineer features, and handle imbalance fast.
- Train and tune models: compare algorithms, optimize hyperparameters, pick winners.
- Design production-ready ML APIs: serialize models, validate inputs, and secure calls.
- Evaluate models with business-first metrics: ROC-AUC, PR-AUC, F1, and cost tradeoffs.
- Monitor deployed models: detect drift, log experiments, and plan retraining cycles.
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
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio CarloAluno de Engenharia de Prompt
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Course in PDF