Types of Machine Learning Course
This course offers a practical introduction to machine learning types, covering supervised and unsupervised techniques through hands-on projects like churn prediction and customer segmentation.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Types of Machine Learning Course provides a quick, hands-on route from unprocessed data to dependable models. You will cover data loading, cleaning, feature engineering, and exploratory analysis, then implement supervised and unsupervised techniques for churn prediction, spend forecasting, and segmentation. Conclude with model evaluation, deployment, monitoring, and straightforward, production-ready documentation applicable right away.
Elevify advantages
Develop skills
- Quick EDA & validation: rapidly profile, visualise, and verify raw data.
- Practical feature engineering: create meaningful churn, spend, and behaviour signals.
- Robust ML pipelines: develop clean, reusable preprocessing workflows for production.
- Supervised & unsupervised ML: apply churn, regression, and segmentation models swiftly.
- Production ML skills: track drift, A/B test models, and connect with business KPIs.
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 purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

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 videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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