Machine Learning Beginner Course
This beginner course introduces fundamental machine learning concepts and practical skills using Python libraries. Learners will build and evaluate classifiers, prepare data, and ensure reproducible results.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain essential machine learning abilities in this straightforward beginner programme. You will study supervised classification, train/test division, cross-validation, and important measures such as accuracy, precision, recall, and F1. Practise using Python, NumPy, pandas, and scikit-learn to construct logistic regression, k-NN, and decision tree models, create features, conduct neat experiments, and deliver repeatable, properly recorded outcomes quickly.
Elevify advantages
Develop skills
- Construct ML classifiers: utilise logistic regression, kNN, and decision trees promptly.
- Ready tidy ML data: employ pandas, encoding, and scaling for sturdy features.
- Train and assess models: utilise scikit-learn, metrics, and cross-validation.
- Enhance model performance: adjust features, manage imbalance, and polish metrics.
- Deliver repeatable ML: organise experiments, fix seeds, and oversee environments.
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 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
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Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio CarloPrompt Engineering Student
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