"Machine Learning Projects" offers hands-on experience with real-world data science challenges. In this course, you'll work on diverse machine learning projects, gaining practical skills in data preprocessing, model selection, and evaluation. Through projects involving classification, regression, and clustering, you'll learn to apply machine learning techniques effectively and understand the basics of model deployment and maintenance. This course bridges the gap between theory and practice, providing you with valuable insights and experience in solving complex problems using machine learning.
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Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Mon Jul 2024 | ||
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Total lectures | 45 | ||
Total quizzes | 0 | ||
Total duration | 43:05:24 Hours | ||
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Number of reviews | 12 | ||
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Short description | "Machine Learning Projects" offers hands-on experience with real-world data science challenges. In this course, you'll work on diverse machine learning projects, gaining practical skills in data preprocessing, model selection, and evaluation. Through projects involving classification, regression, and clustering, you'll learn to apply machine learning techniques effectively and understand the basics of model deployment and maintenance. This course bridges the gap between theory and practice, providing you with valuable insights and experience in solving complex problems using machine learning. | ||
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