Machine Learning Crash Course
Machine Learning Quick Start Guide equips tech workers to transform chaotic support tickets into sharp priority forecasts. Using hands-on models, text processing tricks, and deploy-ready metrics, you'll slash response times and boost customer satisfaction right away. Perfect for fast results in busy teams handling real-world data challenges.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This quick-start course takes you from raw data like text and details to solid models that predict ticket priorities. You'll master cleaning data, handling categories, preparing text, and creating features using TF-IDF, embeddings, and key flags. Build and check models with simple metrics, error checks, and cut-offs, then add them to daily work with tracking, updates, and risk checks.
Elevify advantages
Develop skills
- Define ML models for tickets: set inputs, outputs, labels, and goals quickly.
- Create speedy text features: tidy data, code categories, use TF-IDF.
- Build simple proof models: regression, trees, basic team-ups.
- Assess wisely: choose key metrics, spot errors, adjust limits.
- Roll out easy ML: track changes, handle risks, improve with team 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.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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