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Machine Learning Fundamentals

Go from data to working models. You'll learn supervised and unsupervised algorithms, how to evaluate and tune models properly, and how to build end-to-end ML pipelines with scikit-learn.

8 weeks4.9 rating2.6k enrolled

What you'll learn

Build supervised & unsupervised models
Evaluate and tune models correctly
Engineer features from raw data
Ship pipelines with scikit-learn

Curriculum

1

Supervised Learning

  • Regression
  • Classification
  • Overfitting & regularisation
2

Unsupervised Learning

  • Clustering
  • Dimensionality reduction
  • Anomaly detection
3

Model Lifecycle

  • Evaluation metrics
  • Cross-validation
  • Feature engineering

Tools you'll master

Pythonscikit-learnPandasJupyter
$899One payment, lifetime access
Duration8 weeks
LevelIntermediate
CertificateIncluded
Career supportIncluded
Enroll NowDownload Brochure

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