Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)

Logistic regression is used for classification problems in machine learning. This tutorial will show you how to use sklearn logisticregression class to solve multiclass classification problem to predict hand written digit. We will use sklearn load_digits to load readily available dataset from sklearn library and train our classifier using that information. #MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #LogisticRegression #sklearntutorials #scikitlearntutorials Code: https://github.com/codebasics/py/blob/master/ML/8_logistic_reg_multiclass/8_logistic_regression_multiclass.ipynb Exercise: Open above notebook from github and go to the end. Topics that are covered in this Video: 0:00 - Theory (Binary classification vs multiclass classification) 0:26 - How to identify hand written digits? 1:02 - Coding (Solve a problem of hand written digit recognition) 11:24 - Confusion Matrix (sklearn confusion_matrix) 12:42 - Plot confusion matrix using seaborn library 14:00 - Exercise (Use sklearn iris dataset to predict flower type based on different features using logistic regression) Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Next Video: Machine Learning Tutorial Python - 9 Decision Tree: https://www.youtube.com/watch?v=PHxYNGo8NcI&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=10 Populor Playlist: Data Science Full Course: https://www.youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV Data Science Project: https://www.youtube.com/watch?v=rdfbcdP75KI&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg Machine learning tutorials: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw Pandas: https://www.youtube.com/watch?v=CmorAWRsCAw&list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy matplotlib: https://www.youtube.com/watch