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applied machine learning course

applied machine learning course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course teaches building reliable churn prediction models from raw data to production deployment. Learners master data cleaning, feature engineering, preprocessing, model training and tuning using scikit-learn, evaluation techniques, calibration, interpretability, bias mitigation, reproducible pipelines, and secure deployment with monitoring, logging, and CI/CD practices.

Elevify advantages

Develop skills

  • Production ML deployment: Design secure, monitored real-time and batch systems efficiently.
  • Reproducible ML pipelines: Build, version, test, and deploy scikit-learn workflows swiftly.
  • Churn modelling expertise: Fine-tune, interpret, and calibrate models for business outcomes.
  • Data preparation for ML: Clean, encode, scale, and engineer impactful customer features.
  • Fair and compliant AI: Identify bias, implement mitigations, and document trade-offs clearly.

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

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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