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Machine Learning Crash Course

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

What will I learn?

Machine Learning Crash Course provides a quick, hands-on route from unprocessed text and data details to dependable ticket ranking models. Master data tidying, category coding, text preparation, and feature creation using TF-IDF, embeddings, and keyword markers. Construct and assess models with straightforward measures, mistake review, and cutoff settings, then embed them securely into actual operations with oversight, refinement, and caution for risks.

Elevify advantages

Develop skills

  • Set up ML ticket models: specify inputs, outputs, tags, and goals within days.
  • Create rapid text features: tidy text, code metadata, and use TF-IDF.
  • Develop swift proof-of-concept models: logistic regression, decision trees, and basic combinations.
  • Assess securely: select metrics suited to business needs, review errors, adjust cutoffs.
  • Roll out simple ML: track changes, handle risks, and improve using human input.

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.
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... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get 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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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