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Machine Learning Analytics Course

Machine Learning Analytics Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

The Machine Learning Analytics Course teaches you to build reliable churn prediction models from start to finish, covering data ingestion, feature engineering, supervised modelling, evaluation, and deployment. You will learn to select appropriate metrics, interpret and explain model decisions, create fair and privacy-conscious workflows, and convert predictions into targeted actions, A/B tests, and measurable returns on investment in a concise, practical format.

Elevify advantages

Develop skills

  • Build ML churn pipelines: clean data, engineer features, and train fast models.
  • Tune and compare models: optimise metrics, handle imbalance, and avoid leakage.
  • Explain predictions: use SHAP, feature importance, and clear business narratives.
  • Evaluate ROI: link churn models to uplift, cost-benefit, and KPI dashboards.
  • Deploy and monitor: ship calibrated models, track drift, and run A/B experiments.

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.
Workload: between 4 and 360 hours

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 Carlo
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 Ferres
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana Alvarenga
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 Carlo
Giulio CarloAluno de Engenharia de Prompt

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