4 - Binary Classification Using Machine Learning | Logistic Regression

In this video, we will understand and implement the Logistic Regression algorithm and see how it is different from linear regression. ** Code and Resources** - 1 - Preparing the dataset: https://www.youtube.com/watch?v=nVoGQKHt_rI&ab_channel=MachineMindscape - 2- K-NN Based Classification: https://www.youtube.com/watch?v=v60E94Nadqo&ab_channel=MachineMindscape -3 Naive Bayes Classification: https://www.youtube.com/watch?v=yJ4J-ATZZDw&t=24s&ab_channel=MachineMindscape - Code: https://github.com/anumfatima427/AI_projects_for_everyone/blob/main/1-binary-classfication-using-ml-algorithms.ipynb - Machine Learning for Beginners Course by FreeCodeCamp: https://www.youtube.com/watch?v=i_LwzRVP7bg&list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s&ab_channel=freeCodeCamp.org ** Contents ** - 0:00 intro - 0:10 Logistic Regression - 1:21 Linear vs Logistic Regression - 2:27 Example - 3:08 Why not Linear Regression? - 4:19 Using Logistic Regression - 6:40 Code overview - 7:24 LR Implementation - 8:45 Results Discussion 🔔 Subscribe: Don't miss out on future tutorials, tips, and insights! Subscribe to our channel and hit the notification bell to stay updated. 📌 Visit My Blog: For more tutorials, articles, and resources, visit my blog at https://machinemindscape.com/ 👍 Connect: Have questions or suggestions? Leave a comment below