One of the course's central pillars is the practical implementation of Machine Learning models using Python libraries. Python's versatility and a rich ecosystem of libraries such as scikit-learn, TensorFlow, and Keras provide you with the tools to build, train, and evaluate models effectively.
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| Expiry period | Lifetime | ||
| Made in | English | ||
| Last updated at | Tue Mar 2024 | ||
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| Total lectures | 17 | ||
| Total quizzes | 0 | ||
| Total duration | 38:35:00 Hours | ||
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| Number of reviews | 0 | ||
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| Short description | One of the course's central pillars is the practical implementation of Machine Learning models using Python libraries. Python's versatility and a rich ecosystem of libraries such as scikit-learn, TensorFlow, and Keras provide you with the tools to build, train, and evaluate models effectively. | ||
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