Classification with Python
Course
315 Learners Already enrolled- Grasp the foundational concepts of machine learning with a focus on classification using Python.
- Become proficient with k-NN classification, understanding how to handle multiple features and choose optimal values for k.
- Gain expertise in implementing logistic regression, managing decision boundaries, and tackling overfitting through regularization.
- Develop skills in constructing decision trees, working with random forests, and interpreting model outcomes with confusion matrices and metrics.
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There are 5 modules in this course
In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!Chosen by students of top schools
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Alvaro Ballon Bordo
5
Reviewed on Mar 30, 2025
Great! Learned a lot and quickly from this course. And the meme's were *chef's kiss*.
Carmen
5
Reviewed on Nov 26, 2024
This guy has a heart in that
Kos Kokos
5
Reviewed on Nov 14, 2024
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