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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 Quick Course provides a swift, hands-on route from unprocessed text and data details to dependable ticket ranking models. You will learn data tidying, category coding, text preparation, and feature creation using TF-IDF, embeddings, and key term markers. Construct and assess models with straightforward measures, mistake review, and cutoff settings, then blend them securely into actual operations with oversight, adjustments, and caution for dangers.

Elevify advantages

Develop skills

  • Set up ML ticket models: outline inputs, outputs, tags, and achievements in a few days.
  • Create rapid text features: tidy text, code data details, and use TF-IDF.
  • Train simple proof models: logistic regression, decision trees, and basic combinations.
  • Assess carefully: select work-focused measures, review mistakes, adjust cutoffs.
  • Roll out simple ML: watch for shifts, handle dangers, and improve with people 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

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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