Master Multiclass Classification with Python's Logistic Regression 🚀

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.

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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)

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