--- title: "Discussion on \"Introduction to statistical learning 4\" | Hashnode" description: "Discussion on \"Introduction to statistical learning 4\". Table of Content\n\n4. Classification\n\n4.1 An Overview of Classification\n\n\n\n\n4.2 Why Not Linear Regression?\n\n\n4.3 Logistic Regression\n\n\n4.4 Generative models for classification\n\n\n4.5 Comparison of Classification Methods\n\n\n4.6 Generalized Linear Models\n..." url: "https://hashnode.com/posts/introduction-to-statistical-learning-4/678d06d5a11d432428a6a8b2" --- [Feed](https://hashnode.com/feed) / Discussion # [Introduction to statistical learning 4](https://dataclin.hashnode.dev/introduction-to-statistical-learning-4?utm_source=hashnode&utm_medium=feed) Table of Content 4. Classification 4.1 An Overview of Classification 4.2 Why Not Linear Regression? 4.3 Logistic Regression 4.4 Generative models for classification 4.5 Comparison of Classification Methods 4.6 Generalized Linear Models ... Jan 19, 2025 · 19 min read · dataclin.hashnode.dev Read the article - [#itsl](https://hashnode.com/tag/itsl) - [#statistics](https://hashnode.com/tag/statistics) - [#ml](https://hashnode.com/tag/ml) - [#machine-learning](https://hashnode.com/tag/machine-learning) - [#classification](https://hashnode.com/tag/classification) ## Written by [Mohamed Abdelwahab](https://hashnode.com/@DC-Blog) @DC-Blog · Cairo, EGY [View profile](https://hashnode.com/@DC-Blog) Data Scientist I’m dedicated to advancing healthcare through data science. My expertise includes developing user-friendly Streamlit apps for interactive data exploration, enabling clinicians and researchers to access and interpret insights with ease. I have hands-on experience in advanced data analysis techniques, including feature engineering, statistical modeling, and machine learning, applied to complex healthcare datasets. My focus is on predictive modeling and data visualization to support clinical decision-making and improve patient outcomes. ## Responses Markdown supported · ⌘↵ to post No responses yet.