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HomeProgramming languagepythonMachine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)

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.

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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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Jupyter Notebook:

To download csv and code for all tutorials: go to click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file.


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