ML Introduction with scikit-learn
Kursus
270 Allerede tilmeldte studerende- Gain foundational insights into Machine Learning concepts.
- Explore data types and preprocessing techniques in Scikit-learn.
- Understand Machine Learning workflows including training sets and models.
- Grasp data scaling methods: StandardScaler, MinMaxScaler, MaxAbsScaler.
Udstyr din virksomhed med banebrydende teknologi Data og KI erfaring.
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Der er 4 moduler i dette kursus
Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.- Scikit-learn ConceptsForhåndsvisning
- Getting Familiar with DatasetForhåndsvisning
- Dealing with Missing ValuesForhåndsvisning
- Challenge: Imputing Missing ValuesForhåndsvisning
- OrdinalEncoderForhåndsvisning
- One-Hot EncoderForhåndsvisning
- LabelEncoderForhåndsvisning
- Challenge: Encoding Categorical VariablesForhåndsvisning
- Why Scale the Data?Forhåndsvisning
- StandardScaler, MinMaxScaler, MaxAbsScalerForhåndsvisning
- Challenge: Scaling the FeaturesForhåndsvisning
- ModelsForhåndsvisning
- KNeighborsClassifierForhåndsvisning
- Evaluating the ModelForhåndsvisning
- Cross-ValidationForhåndsvisning
- Challenge: Evaluating the Model with Cross-ValidationForhåndsvisning
- GridSearchCVForhåndsvisning
- The Flaw of GridSearchCVForhåndsvisning
- Challenge: Tuning Hyperparameters with RandomizedSearchCVForhåndsvisning
- Modeling SummaryForhåndsvisning
- Challenge: Putting It All TogetherForhåndsvisning
Udvalgt af studerende fra de allerbedste skoler
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Studerendes anmeldelser
5.0
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Viser 2 af 2 anmeldelser
Ivan Derzhylo
5
Anmeldt den Feb 9, 2024
Excellent quality of all courses I have passed
5
Anmeldt den Nov 29, 2023
Easy to use and quick
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