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 fundamentals4.6
(35)
- 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
- Impute Missing ValuesPreview
- OrdinalEncoderPreview
- One-Hot EncoderPreview
- LabelEncoderPreview
- Encode Categorical VariablesPreview
- Why Scale the Data?Preview
- StandardScaler, MinMaxScaler, MaxAbsScalerPreview
- Scale the FeaturesPreview
- Preprocessing SummaryPreview
- ModelsPreview
- KNeighborsClassifierPreview
- Evaluating a Model. Train-Test split.Preview
- Cross-ValidationPreview
- Evaluate the Model with Cross-ValidationPreview
- GridSearchCVPreview
- The Flaw of GridSearchCVPreview
- Tune Hyperparameters with RandomizedSearchCVPreview
- Modeling SummaryPreview
- Putting It All TogetherPreview
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Showing 3 of 35 reviews
Kos Kokos
5
Reviewed on Oct 15, 2024
Vadym Korol
5
Reviewed on Oct 13, 2024
Very nide explanation, concise, only important things
Patricio Miguel Pontón
5
Reviewed on Oct 8, 2024
Recommended if you're interested in learning Python
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Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.
With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience
Take control of your career development and commence your path into mastering the latest technologies
Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
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