introduction To Machine Learning Course
Learn the complete machine learning process for predicting customer churn and returns, from data preparation and feature creation to training models, evaluating performance, ensuring fairness, and deploying solutions that deliver clear business value in your technical position.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This practical introduction guides you through setting up churn and return prediction tasks, cleaning real data, and creating solid models. Gain skills in feature engineering, data encoding, managing imbalances, cross-validation, tree methods, model calibration, fairness assessments, and ready-to-deploy reports for real business results.
Elevify advantages
Develop skills
- Business-focused ML setup: transform churn and return objectives into precise ML problems.
- Quick data preparation: clean, encode, and balance actual customer data for modelling.
- Hands-on model building: adjust, validate, and assess tree and linear models effectively.
- Real-world assessment: select metrics, define thresholds, and verify fairness across groups.
- Production-ready ML: develop pipelines, track changes, and present findings transparently.
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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