3 - Binary Classification Using Machine Learning | Naive Bayes

In this video, we will understand and implement the Naive Bayes algorithm which is based on conditional probability. ** 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 - 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 - 0:25 Naive Bayes Theorem - 5:08 NB Classification - 7:15 NB Classification Example - 12:20 Coding Part - 12:36 Dataset Preprocessing - 13:48 KNN Recap - 13:55 NB code using python - 15:56 outro 🔔 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