ML Course
This course offers a hands-on introduction to machine learning, covering the full pipeline from data preparation to model deployment and monitoring.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Machine Learning Course provides a quick, hands-on route from unprocessed customer data to dependable models. You will cover dataset profiling, exploratory data analysis, data cleaning, feature engineering, and managing missing values or class imbalance. Construct and assess baseline models, grasp essential metrics, enhance performance, and arrange for deployment, monitoring, and explainability to keep predictions precise and useful over time.
Elevify advantages
Develop skills
- Practical ML workflow: design customer-focused prediction pipelines fast.
- Data prep mastery: clean, encode, scale and balance real-world datasets.
- Baseline modeling: build and validate linear and logistic regression quickly.
- Model evaluation: choose metrics, tune thresholds, and read diagnostics.
- Deployment-ready ML: explain models, monitor drift, and run simple A/B tests.
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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