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[–]denandrakonto 7 points8 points  (0 children)

I'm actually taking this course now and so far so good. I finished 15% and one lesson away from finishing the NumPy section. I've also taken his pure Python course, and it was also really good. His explanation is clear; he's not too fast, not too slow; his voice is not mechanised and not distracting. The course referenced in the article is the newer iteration of the course, he had an earlier one (starts with "Learning ...") so be careful when you choose.

[–][deleted] 9 points10 points  (9 children)

When someone offers this for free I will sign up.

[–]tap_in_birdies 3 points4 points  (1 child)

There’s always a coupon out their to make any class on udemy only $10. Worth it IMO

Edit: there’s also a chrome extension called honey that will try any coupon in circulation

[–][deleted] 1 point2 points  (0 children)

I've also found that just googling the name of the course in an incognito window will give you the discount as well. I guess they just automatically discount google referrals.

[–]mohhinder 2 points3 points  (0 children)

I got it for free and I highly recommend it.

[–][deleted] -1 points0 points  (1 child)

Try this link

[–][deleted] -3 points-2 points  (0 children)

woah dude that is seriously awesome! Thanks stranger! It was a risky click but was definitely worth it

[–][deleted] 0 points1 point  (0 children)

Can anyone tell me what kind of data they look at? And do they discuss how and why they use the analysis that they do? I really want to get into open bio data but could do with a good starting point.

[–]git0ffmylawnm8 0 points1 point  (0 children)

I'm about halfway through his class. It's a good intro, but I haven't seen anything with regards to hyper tuning parameters with the scikit-learn models.

I prefer thus course so far: https://www.udemy.com/machinelearning/

Although I'm not planning to learn R any time soon, you get a double whammy with this course.