Logistic Regression using Python (Sklearn, NumPy, MNIST, Handwriting Recognition, Matplotlib)

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Logistic Regression using Python (Sklearn, NumPy, MNIST, Handwriting Recognition, Matplotlib). This tutorial goes over logistic regression using sklearn on the digits and MNIST datasets including making confusion matrixes.

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Thanks for this helpful tutorial!

Quick fix regarding future_warning:
logisticRegr = LogisticRegression(solver = 'liblinear', multi_class = 'ovr')

vincentweisser
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G8 video as always. I like the way you use Jupyter notebook to the fullest. I'm learning machine learning nowadays and this tutorial definitely cleared my concept on linear regression.

thecodingproject
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Thanks Michael! Keep up the great work!

datajuls
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So its a mutliclass classification problem right? so is this the way we do it using logisitic regression? or should we use One VS rest method? and divide into different classes before performing logistic regression

sumanthsriram
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on loading the training images and labels it gives me Invalid argument
what should i do??

dinamuhammed
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No information about the model parameters itself !

KARABNAS
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Excellent but you need to explain more on how you trained to make it more successful

myhimalayanchants
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Sir can you please help me with the problem statement of this video

kk
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i like this video, thank you so much
and i want to download your unzip mnist data, but -t10k-labels-idx1-ubyte- this page got error, another things are fine, feedback plz

건강나라-fv
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May I know why did you use the logistics regression for this type of classification? I got the understanding of the code till the pre-processing of the data set. but the logic behind this prediction is not understandable yet. Please note: I am a beginner.

rajeshsomasundaram
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ValueError: cannot reshape array of size 1 into shape (8, 8)

zakariahussain
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At around 12:26', the statement "logisticRgr.predict(test_img[0].reshape(1, -1))", why is the reshape(1, -1)? Thanks!

stellasoh
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This video seems helpful, but the sound is so feeble.

kartik_exe_
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