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Introduction to Machine Learning with Scikit-Learn
Introduction to Machine Learning with Scikit-Learn
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Introduction to Machine Learning with Scikit-Learn
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EPISODES
Summary and Schedule
1. Introduction
2. Supervised methods - Regression
3. Supervised methods - Classification
4. Ensemble methods
5. Unsupervised methods - Clustering
6. Unsupervised methods - Dimensionality reduction
7. Neural Networks
8. Ethics and the Implications of Machine Learning
9. Find out more
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IntroductionWhat is machine learning?
Getting started with Scikit-Learn
What will we cover today?
Supervised methods - RegressionSupervised learning
Regression
Supervised methods - ClassificationClassification
Ensemble methodsEnsemble methods
Unsupervised methods - ClusteringUnsupervised learning
Clustering
Unsupervised methods - Dimensionality reductionDimensionality reduction
Dimensionality reduction with Scikit-Learn
Neural NetworksNeural networks
Ethics and the Implications of Machine LearningEthics and machine learning
Ethics of machine learning in research
Find out moreOther algorithms
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