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- Data
Building Machine Learning Solutions with scikit-learn
11 Courses
28 Hours
Skill IQ
This skill teaches learners how to build machine learning solutions using Python and the pervasive scikit-learn package, including application of classifcation, regression, and clustering.
Content in this path
Beginner
Experience the machine learning workflow as implemented in scikit-learn, and use that workflow to build simple classification, regression, and clustering models.
Intermediate
Build sophisticated neural network models, apply dimension reduction techniques, and combine model approaches.
Advanced
Select the appropriate model for your business problem and data, and evaluate the effectiveness of that model.
Supplemental Learning
Enhance the knowledge learned previously by watching this supplemental content.
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What You'll Learn
- Design and implement common machine learning solutions using scikit-learn
- Evaluation and validation of scikit-learn machine learning models
Prerequisites
- Data Literacy
- Data Analytics Literacy
- Statistics
- Python programming
Related topics
- Python Programming
- Statistics and Probability
- Deep Learning
- Machine Learning Literacy
- Other Machine Learning Libraries
- such as PyTorch
- Computer Vision
- Image Recognition
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