Love these machine learning exercises! Just completed exercise 3 but came across one issue in the regularized cost function. I'm getting a divide by 0 error in the second var. I assumed this is because log(0) is undefined. Any way around this?

When i compile w/ Python 2.7 the accuracy is around 97% but only 76% when compiled with Python 3.

def gradientDescent(X, y, theta, alpha, iters):
temp = np.matrix(np.zeros(theta.shape)) parameters = int(theta.ravel().shape[1]) cost = np.zeros(iters)

//why are we using below loop? Its a matrix multiplication I dont think we need to //loop here. It will always give the same answer. Can you please tell me what is the benefit of using loop here? for i in range(iters): error = (X * theta.T) - y

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فن تعليم الآلة أهلا بيكم في الكورس الخاص بفن تعليم الآلة . .

أولا كورس تعليم الآلة machine learning

يتكون من 12 قسم , هم :

1 - مقدمة : https://www.youtube.com/playlist?list=PL6-3IRz2XF5Vf1RAHyBo4tRzT8lEavPhR

2- التوقع : https://www.youtube.com/playlist?list=PL6-3IRz2XF5UJE2PbY7UU4SHi7UpV1mXo

3 -بايثون : https://www.youtube.com/playlist?list=PL6-3IRz2XF5UM-FWfQeF1_YhMMa12Eg3s

والملف الذي يحتوي علي جميع الاكواد : https://docs.google.com/document/d/1BX7k8q2X7C32DB2TJFqk5a2CJDg-aUBJTJIVqwo1A4Y

4 - التصنيف : https://www.youtube.com/playlist?list=PL6-3IRz2XF5Uq7PkI_PWOm_DLC2CFvSzU

5 - الشبكات العصبية : https://www.youtube.com/playlist?list=PL6-3IRz2XF5UX-Yi32r925nsgW-3GrnSa

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كما يرجي مشاهدة شرح برنامج MLHelper https://www.youtube.com/playlist?list=PL6-3IRz2XF5VdA0sd-nLM0LMzhfivfwmu

و هنا صفحة الفيسبوك https://www.facebook.com/pg/Machine.Learning.Art/posts/

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كما ان ملفات الشرح كلها هنا : https://drive.google.com/drive/folders/1b8IaXG5KXDSunpOhWSBr4j8U2tlOSuBp

و سنقوم قريبا ببداية كورس التعلم العميق , وسننشر تفاصيله هنا

Hi John, I'm Dan from Deepnote. We're a small startup creating a better data science notebook and one of the things we're really interested is making it easier for people to try and learn from existing projects. I'm quite new to this, so one of the first things I wanted to do was to try Deepnote with a couple of cool public repos, including yours. :) Since I already set it up for myself, I thought it might be useful for others too to have a one-click button to run your repo (also the Azure one doesn't seem to work anymore), so I submitted a PR.

Thanks for your work! Dan

I have this error when running the notebook with "jupyter notebook"

UnicodeDecodeError                        Traceback (most recent call last)
<ipython-input-8-42c04a259fe9> in <module>()
      1 file = open(train_datasets[0])
----> 2 train_A = pickle.load(file)
      3 train_A.shape

/usr/lib/python3.5/codecs.py in decode(self, input, final)
    319         # decode input (taking the buffer into account)
    320         data = self.buffer + input
--> 321         (result, consumed) = self._buffer_decode(data, self.errors, final)
    322         # keep undecoded input until the next call
    323         self.buffer = data[consumed:]

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte

About the mapped feature part. The polynomial permuted features data set should have 28 features but you have way less in the notebook.

Is it your intention to not fully polynomialize features? or it's a bug in your permutation code?

Thanks for the notebook.