Classification with Python
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!Course
Gain insight into a topic and learn the fundamentals4.0
(11)
- 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 6 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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Learner reviews
4.0
11 reviews
5
45%
4
9%
3
45%
2
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Showing 3 of 11 reviews
Kos Kokos
5
Reviewed on Nov 14, 2024
Gage Lukascewicz
5
Reviewed on Sep 11, 2024
UHH, WHAT HAPPENED TO THE RATING SCALE?
Lex Xai
4
Reviewed on Jul 19, 2024
Incorrect calculation of points for the result to get a certificate. Does not see completed modules.
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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