100 Days of Machine Learning | CampusX - Softmax Regression || Multinomial Logistic Regression || Logistic Regression Part 6

Softmax Regression, also known as Multinomial Logistic Regression, is an extension of logistic regression to handle multiple classes. It computes the probabilities of each class and selects the one with the highest probability as the predicted class. Softmax activation ensures that the predicted probabilities sum up to 1, providing a robust framework for multiclass classification tasks. Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day60-logistic-regression-contd ============================ 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 00:55 - Softmax Regression 08:20 - Training Intuition 14:53 - Prediction 19:58 - Loss Function 34:30 - Softmax Demo in SKlearn