Hands-On Machine Learning: Logistic Regression with Python and Scikit-Learn

[@RyanAndMattDataScience]

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[@crystalford7692]

Hey, I just discovered you this week and want to tell you what a huge help you have been! Thanks!

[@ayseljafarzade1076]

thanks for explanation!

[@RyanAndMattDataScience]

No problem

[@RyanAndMattDataScience]

d = {'miles_per_week': [37,39,46,51,88,17,18,20,21,22,23,24,25,27,28,29,30,31,32,33,34,38,40,42,57,68,35,36,41,43,45,47,49,50,52,53,54,55,56,58,59,60,61,63,64,65,66,69,70,72,73,75,76,77,78,80,81,82,83,84,85,86,87,89,91,92,93,95,96,97,98,99,100,101,102,103,104,105,106,107,109,110,111,113,114,115,116,116,118,119,120,121,123,124,126,62,67,74,79,90,112],
'completed_50m_ultra': ['no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','no','yes','yes','yes','yes','no','yes','yes','yes','no','yes','yes','yes','yes','yes','yes','yes','yes','no','yes','yes','yes','yes','yes','yes','yes','no','yes','yes','yes','yes','yes','yes','yes','no','yes','yes','yes','yes','yes','yes','yes','no','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes','yes',]}

[@kamranzamanni6826]

Thanks👍🏽

[@mehdismaeili3743]

Excellent .

[@averysnyder4794]

Great stuff! keep it up

[@RyanAndMattDataScience]

Thanks! Video every other day

[@Eric-f2n4w]

Well explained.

[@RyanAndMattDataScience]

Thanks

[@TRZMac]

Why not add an extra minute to the video and actually show the plot?
I realized you have done the same thing with the Decision tree video.
I as a beginner would really appreciate adding that extra minute or two, just to get the full idea of the process.
And thanks for the effort and the great videos you make.

[@RyanAndMattDataScience]

I’ve been doing that on the newer videos. This is when I had just started the TH-cam channel. Now I make a slide deck and show Python code for all vids

[@TRZMac]

@@RyanAndMattDataScience Will check those out!
Thanks for the quick response!

[@eyamestiri2236]

Thank you.

[@RyanAndMattDataScience]

No problem

[@baoxuan2279]

That's what i need

[@wuqianyi1021]

j

[@wuqianyi1021]

I'm glad I found this gem, great content

[@RyanAndMattDataScience]

Thanks for checking it out!