100 Days of Machine Learning | CampusX - What are Outliers | Outliers in Machine Learning

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: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 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