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Pattern Recognition Course

Pattern Recognition Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain expertise in analysing session data, cleaning and validating logs, and creating effective features for precise purchase predictions. Develop strong preprocessing pipelines, evaluate supervised models, adjust thresholds, and use business-oriented metrics. Master model interpretation, monitoring, and explanation to deliver actionable insights with real business value.

Elevify advantages

Develop skills

  • Session data analysis: efficiently profile, clean, and validate extensive behavioural logs.
  • Feature engineering expertise: construct reliable, high-impact features for purchase prediction models.
  • ML pipeline development: encode, scale, and select features using leak-proof processes.
  • Model evaluation skills: select optimal metrics and thresholds to boost business performance indicators.
  • Production ML proficiency: track model drift, interpret predictions, and deploy trustworthy session-based AI.

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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