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machine-learning

Accuracy and confusion matrix

3 roles need it, 1 as coreUsually level 2: BasicsLesson available

Where it sits

Learn first

Nothing: a good place to start.

This skill

Accuracy and confusion matrix

Leads to

Logistic regression in scikit-learnClassification metricsPrecision and recall

Jobs that need it

What level 2 (Basics) means

Can use it with guidance. Level 3 (Working): uses it independently on the job.

Start learning

Accuracy and confusion matrix

Classification metrics

about 25 min9 parts

Open the lesson

Find out where you stand

A free check, then a route that starts at your level.

Check my readiness

Learned alongside it

A composite function and its derivativeActivation functionsAgglomerative clusteringAI EngineerBackpropagationBasic data typesBasics of neural network architectureBayes theorem

Accuracy and confusion matrix: common questions

What is Accuracy and confusion matrix?

Accuracy and confusion matrix is a skill in machine-learning, needed by 3 roles on BootSelf.

Which jobs need Accuracy and confusion matrix?

Data Scientist, AI Engineer, MLOps Engineer. Most ask for level 2 (Basics): can use it with guidance.

What should I learn before Accuracy and confusion matrix?

Nothing in particular: it's a good place to start.

How long does it take to learn Accuracy and confusion matrix?

The starting lesson, Accuracy and confusion matrix, takes about 25 minutes. Reaching the level a job asks for takes practice on top: BootSelf measures where you are and plans the rest.

How do I practise Accuracy and confusion matrix?

Check your readiness for free, then BootSelf builds a route and short daily learning loops: a little theory, checks on what you get wrong, then a small program.