ML Course
Master the full ML workflow for customer data: from EDA and data cleaning to feature engineering, model training, evaluation, and deployment. Build practical, business-focused machine learning skills tailored for technology professionals.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This ML Course gives you a fast, practical path from raw customer data to reliable models. You will learn dataset profiling, EDA, data cleaning, feature engineering, and handling missing values or class imbalance. Build and evaluate baseline models, understand key metrics, improve performance, and plan deployment, monitoring, and explainability so your predictions stay accurate and actionable over time.
Elevify advantages
Develop skills
- Practical ML workflow: design customer-focused prediction pipelines fast.
- Data prep mastery: clean, encode, scale and balance real-world datasets.
- Baseline modeling: build and validate linear and logistic regression quickly.
- Model evaluation: choose metrics, tune thresholds, and read diagnostics.
- Deployment-ready ML: explain models, monitor drift, and run simple A/B tests.
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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