Training a Logistic Regression Classification Model with Matlab - Machine Learning for Engineers

This video is part of the "Artificial Intelligence and Machine Learning for Engineers" course offered at the University of California, Los Angeles (UCLA). This course introduces ML/AI theory and applications that are relevant to engineering, with a focus on practical machine learning for civil engineering. This tutorial illustrates how to use Matlab to train a logistic regression classification model. We use this model to predict whether tomorrow will be rainy or not based on the knowledge of today's relative humidity and atmospheric pressure. We discuss how to visualize the classes and the decision boundary hyperplane, as well as how to calculate the accuracy, precision, recall, and F1 score of the classification model.

[@danielfigueroa1992]

Such a clear, concise and comprehensive video. Great job! Please include a link to the training data so that I can try it for myself.

[@jonnathansingh3705]

So nice to have a clear walk through, thanks a ton for this great explanation and pacing.

[@FahadKhan-wz6pr]

Super

[@ademsunkemo1284]

It is very interesting keep it up. then give us further training on other models

[@shonakbansal1563]

Nice, Please, share a link for the Data you used in video

[@NasirUddin-im2zb]

your videos are more good than the others .

[@rachidsaadane8225]

Thanks for this very nice course. Please, share a link for the Data you used in your lecture.

[@Fight2Survive559]

Fantastic video!

[@alirezafakhrizadehesfahani1206]

Thanks for this nice course. Please, leave a link for the DATA you used in your lecture.

[@TaHai87]

Thank you

[@fateh.othoman4704]

Thanks you ,its Amazing ,if you want Can you try to classify a file exel by genetic algorithme please?? _how to make a genetic algorithm classification program of a system in matlab

[@Islam101_Uganda]

no links to the dataset

[@zainabbutt7863]

Hi, instead of 0 and 1, the classes were colours e,g red and purple how will that change the code?