Prone to outliers
Linear regression is very sensitive to outliers (anomalies). So, outliers should be analysed and removed before applying Linear Regression to the dataset.
Linear regression is very sensitive to outliers (anomalies). So, outliers should be analysed and removed before applying Linear Regression to the dataset.
Hello, I am Jamaley. I graduated from Staffordshire University and have always been passionate about Computers, Technology, and Generative AI. Currently, I work as a Senior Data Scientist (AI/ML) and I’m also the founder of TechJunkGigs, a platform dedicated to helping programming students with tutorials on Machine Learning, Data Science, Python, LLM, RAG, Generative AI, and NLP. What started as a blog has now evolved into a valuable resource for students, and I'm committed to sharing knowledge to help them stay updated with industry trends
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