Machine learning is pervasive in the modern, data-driven world. It’s used in search engines, robotic, self-driving cars, and many more instances. In this course, you’ll learn how to perform various machine learning tasks in many different environments. Focusing on real-life scenarios, you’ll learn how to solve real problems and use Python to implement algorithms.
- Access 97 lectures & 4.5 hours of content 24/7
- Deal w/ various types of data & explore the differences between machine learning paradigms
- Cover a range of regression techniques, classification algorithms, predictive modeling, & more
- Use real-world examples to solve real-life problems
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