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Train & evaluate models with scikit-learn | Sri AI
AI: Machine Learning & Model Training

Train & evaluate models with scikit-learn | Sri AI

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Course overview

The working toolkit of classic ML: pipelines, cross-validation and tuning, taught the way the scikit-learn team teaches it.

Level: Beginner  ·  Mode: Evenings, online

Who this course is for

Beginners moving from first models to dependable ones.

What you will learn

  • Build preprocessing and model pipelines
  • Validate with cross-validation
  • Tune hyper-parameters
  • Avoid data leakage

Syllabus

  1. Module 1: Pipelines
  2. Module 2: Cross-validation
  3. Module 3: Linear and tree models
  4. Module 4: Hyper-parameter tuning
  5. Module 5: Evaluation metrics

Final project

Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.

Before you start

Python for AI.

Open-source tools you will use

Adapts the INRIA scikit-learn MOOC (CC-BY licence).

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