The "Machine Learning Using Python" course offers a hands-on introduction to machine learning concepts with a focus on Python programming. Participants will explore key topics such as supervised and unsupervised learning, data preprocessing, and model evaluation using popular libraries like scikit-learn and TensorFlow. Through practical exercises and real-world projects, students will develop the skills needed to build, train, and deploy machine learning models, preparing them to tackle data-driven challenges in various applications.
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| Expiry period | Lifetime | ||
| Made in | English | ||
| Last updated at | Tue Jul 2024 | ||
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| Total lectures | 28 | ||
| Total quizzes | 0 | ||
| Total duration | 05:49:11 Hours | ||
| Total enrolment |
106 |
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| Number of reviews | 21 | ||
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| Short description | The "Machine Learning Using Python" course offers a hands-on introduction to machine learning concepts with a focus on Python programming. Participants will explore key topics such as supervised and unsupervised learning, data preprocessing, and model evaluation using popular libraries like scikit-learn and TensorFlow. Through practical exercises and real-world projects, students will develop the skills needed to build, train, and deploy machine learning models, preparing them to tackle data-driven challenges in various applications. | ||
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