Scikit-learn Crash Course - Machine Learning Library for Python

Scikit-learn is a free software machine learning library for the Python programming language. Learn how to use it in this crash course.

✏️ Course created by Vincent D. Warmerdam.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) introduction
⌨️ (0:03:08) introducing scikit-learn
⌨️ (0:34:36) preprocessing
⌨️ (0:53:36) metrics
⌨️ (1:24:49) meta-estimators
⌨️ (1:45:34) human-learn
⌨️ (2:06:17) wrap-up

⭐️ Code ⭐️
💻 Notebook per section:

⭐️ Other Recources ⭐️

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[freecodecamp]

Message from the creator:
I hope you've all enjoyed this series of videos. It was fun to collaborate with freeCodeCamp!

[buraksenel]

This is by far the most beginner friendly introduction to sk-learn I've seen

[lVaNeSsA]

Wow - I need to share this with the rest of the class! Thanks for making this video so understandable.

[flashbao]

This video saved me from a 5K course! Thanks! Loads of Love!

[riccello]

This is the way everything should be taught!

I love that you present concepts in a structured and systematic way, speaking slowly and clearly, using as few words as possible...

- starting with the concept and talking through drawing a logical diagram (which is so important for developing abstract thinking in terms of high level concepts, which is how we think when we are experienced in something).

- then writing clean, concise code to implement each part of the concept

- showing plots that directly demonstrate the effects of the entire iteration

Too many tutorials make the mistake of talking too much. A lot of videos also either assume too much or too little about the viewer's knowledge.

This seems to confidently stike the nail on the head!

Thanks!

[imdadood]

Just completed the first part of the lecture. I have been using scikit for a couple of months! Dudeee! This is an eye opener!

[develxper]

I was rewatching the course to make my basics better, there were actually a lot of details man!!!

[gabriel]

OMG! I love all the contente that Vincent makes! I must watch this video!

[ThomasKuncewicz]

The way each dataset complements the associated pitfall you want to bring up at a given moment... wow. What an amazing intro -- it must have taken a lot of forethought and behind the scenes organization to make the flow of this video series seem so effortless. THANK YOU!!

[JoshJetson]

This is an excellent tutorial. Im doing the coursera ibm maachine learning cert and supplementing it with this video. This overall is a much more palatable and easier to understand tutorial of scikit learn and really a machine learning model in general. Awesome work!

[codesiddhi]

Just Amazing once again, u guys rock as always...

[Duh_Daily]

the explanations are well detailed, this really helps with understanding the library and know exactly what to use and where to use it. You have helped a great community of beginners. 🙏🏾🙏🏾🙏🏾🙏🏾🙏🏾

[johnmo]

Great video. Helped me with multiple sections that I had been fumbling my way through. No hard going over some things I already knew aswell.
Thanks for this..👍

[dariuszspiewak]

I must agree with others: this is a great lecture. I mean... REALLY good. Vincent, do you have any more of these? This stuff is not only informative, but also pleasant to watch and listen to. Good, correct, and clear English is rather rare these days. Sadly. This lecture is good because it does not shy away from details. It also goes beyond just showing the API. It tries to build something new from the available "Lego" pieces. Which is great as it shows creativity and also how to dig deeper to understand the data. Very, very good exposition. Many thanks.

[rodiekozlovsky]

what a great course! thank you for openning the gates..

[navneetTanks]

Thankyou very much, much needed for beginners like me❤️,
I hope one day when I'll become expert, I will make free courses for others too❤️

[kateryna_today]

Just started learning scikit! thank you for the material

[dilshanchrishantha]

great series of demo videos. well explained for a beginner to learn from zero.

[ShiftKoncepts]

thank you so much! I am slowly digesting this stuff and most likely will have to review it 2 or more times.

[rodrigokk]

Great video ! At 1:49:40 you could use ".values" at the end instead of np.array in the beginning.