Machine Learning Crash Course
This Machine Learning Crash Course equips tech professionals with practical skills to transform messy support tickets into accurate priority prediction models. Participants learn essential data preprocessing, feature engineering with TF-IDF and embeddings, model building using logistic regression and trees, evaluation through clear metrics and error analysis, and safe deployment with monitoring and iteration to reduce response times and enhance customer satisfaction.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain a rapid, hands-on introduction to machine learning for ticket prioritisation, covering data cleaning, categorical encoding, text preprocessing, feature engineering via TF-IDF, embeddings, and keyword flags. Master building and evaluating models with logistic regression, trees, and ensembles using business metrics, error analysis, and thresholding, then deploy them securely into workflows with drift monitoring, risk controls, and iterative improvements based on feedback.
Elevify advantages
Develop skills
- Frame ML ticket models by defining inputs, outputs, labels, and success metrics quickly.
- Build fast text features through data cleaning, categorical encoding, and TF-IDF application.
- Train quick proof-of-concept models using logistic regression, decision trees, and ensembles.
- Evaluate models safely with business metrics, error analysis, and threshold tuning.
- Deploy lightweight ML solutions with drift monitoring, risk management, and human feedback.
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.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 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 FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
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 CarloPrompt Engineering Student
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