Machine Learning Development Course
Gain expertise in the complete machine learning lifecycle, from preparing data and training models to deploying, monitoring, and managing them. Build dependable customer prediction models that deliver real business value in practical settings.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches sourcing, cleaning, and preparing customer data, then training, tuning, and evaluating binary classifiers with Python and scikit-learn. Cover strong validation methods, key business metrics, threshold choices, model explanations, API packaging, reproducibility, privacy standards, and post-deployment monitoring for effective real-world results.
Elevify advantages
Develop skills
- Build strong ML pipelines: clean data, create features, manage imbalances quickly.
- Train and adjust models: compare methods, fine-tune settings, select best ones.
- Create ready-to-use ML APIs: save models, check inputs, secure access.
- Assess models using business metrics: ROC-AUC, PR-AUC, F1, cost balances.
- Track live models: spot changes, record tests, schedule updates.
Suggested summary
Before starting, you can change the chapters and 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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