ML Introduction with scikit-learn
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.Course
Gain insight into a topic and learn the fundamentals5.0
(2)
- 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.
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There are 6 modules in this course
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 ConceptsPreview
- Getting Familiar with DatasetPreview
- Dealing with Missing ValuesPreview
- Challenge: Imputing Missing ValuesPreview
- OrdinalEncoderPreview
- One-Hot EncoderPreview
- LabelEncoderPreview
- Challenge: Encoding Categorical VariablesPreview
- Why Scale the Data?Preview
- StandardScaler, MinMaxScaler, MaxAbsScalerPreview
- Challenge: Scaling the FeaturesPreview
- Preprocessing SummaryPreview
- ModelsPreview
- KNeighborsClassifierPreview
- Evaluating the ModelPreview
- Cross-ValidationPreview
- Challenge: Evaluating the Model with Cross-ValidationPreview
- GridSearchCVPreview
- The Flaw of GridSearchCVPreview
- Challenge: Tuning Hyperparameters with RandomizedSearchCVPreview
- Modeling SummaryPreview
- Challenge: Putting It All TogetherPreview
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Ivan Derzhylo
5
Reviewed on Feb 9, 2024
Excellent quality of all courses I have passed
5
Reviewed on Nov 29, 2023
Easy to use and quick
Recommended if you're interested in learning Python
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