What are Outliers Outliers in Machine Learning

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Outliers are data points significantly different from the majority in a dataset. In machine learning, outliers can impact model performance by skewing results or introducing noise. Identifying and handling outliers is crucial for building accurate and robust machine learning models. • ============================ • Do you want to learn from me? • Check my affordable mentorship program at : https://learnwith.campusx.in/s/store • ============================ • 📱 Grow with us: • CampusX' LinkedIn:   / campusx-official   • CampusX on Instagram for daily tips:   / campusx.official   • My LinkedIn:   / nitish-singh-03412789   • Discord:   / discord   • E-mail us at [email protected] • ⌚Time Stamps⌚ • 00:00 - Intro • 00:51 - What are outliers? • 04:40 - When should you remove outliers? • 07:14 - The effects of outliers in ML algorithms • 09:14 - How to treat outliers? • 12:01 - How to detect outliers? • 15:58 - Techniques for outlier detection and removal

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