Genetic Algorithms - Learn Python for Data Science #6

In this video, we build a Gamma Radiation Classifier and use Genetic Programming to pick the best Machine Learning model + hyper-parameters FOR US in 40 lines of Python.

Challenge for this video:

Peter's winning code:

Kyle's Runner up code:

Great chapter on Genetic Algorithms:

Link to TPOT:

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[peterwalkington]

Your channel is incredibly underated, thank you for providing such a good resource for free.

[claytonstrang]

I literally never comment on videos, but I had to today. I've powered through your data scientist playlist this afternoon, and I am absolutely overwhelmed with the quality and depth of the information you're giving us... you're like an ancient alien teaching us mere mortals about electricity... thanks so much

[Lemenks]

I really liked this format where you explained the completed code - thanks for the vid!

[Jarihopkins]

You set me in the path of data science, and i've learned so much since then. Now, seeing your videos again I realize that I understand everything, every single line... and i didnt even know python back there! And its like what, 6 months from the day i've started??
Thanks Siraj and thanks internet!!!!

[riceisnice]

Hey Siraj, I'm really enjoying your videos. I'm just getting in to machine learning and your videos have been one of my favorite sources. I just joined your Patreon. I know it is not much money so I wanted to comment here too with some encouragment. You are the first person I've ever supported on Patreon.

I'm rooting for you to get fully funded. You are really good at what you are doing and it would be a shame if you had to stop prematurely. It is clear that you really enjoy it.

[hamzaaitboutou]

Dude your channel content is SO GREAT!!

[ratandebnath]

Thanks, @Siraj Raval. Your presentation and course content really awesome.

[ijankro]

For the love of god man! I was eating cereal when some of these memes came on the screen! What a refreshing tutorial video!

[harishwarboss]

Siraj your contents are mind blowing, Keep rocking !!!

[bobcrunch]

Holy Smokes!!! It works. I only had to make two small changes to Siraj's code, and I believe that it was due to changes in "tpot". Kudos to the mighty Siraj!

Printout:
Warning: xgboost.XGBClassifier is not available and will not be used by TPOT.
Optimization Progress: 7%|██▏ | 42/600 [05:17<1:39:08, 10.66s/pipeline]

It increases my PC blower motor speed as it runs. Too bad I don't have 100 Cuda pipelines. Maybe I'll try AWS next time.

[fakespike]

Siraj you are the most animated person i know lol. i can understand your videos without audio. i particularly like the pantamime of "Darwinian process" in second 53.

[mikeeggleston]

Genetic Programming != Genetic Algorithms

[Edgedable]

OH MY GOD HE DID IT! somebody's getting blown tonight!

[cosmicfissure]

Este es un canal increíble. que bueno hacer parte de hacer parte de esta comunidad.

[MyFlabbergast]

For those facing import issues, try (depending upon problem statement):


from tpot import TPOTClassifier
OR
from tpot import TPOTRegressor

[Dylan-qkss]

This is a lot of fun to program, thanks.

[apachaves]

Very good video to introduce the subject. I liked it.

[treelight]

just for updates: from tpot import tpot ; didn't find TPOT in there; from sklearn.model_selection import train_test_split; the latter avoids the deprecation warning of sklearn.cross_validation. still working on the rest. Thanks for the vid, nice topic to touch on.

[jua]

Thank you so much for helping us out!!!! :D

[masoudmasoumimoghaddam]

Siraj Great job!
you're explaining so concise and precise! I hardly can add anything to it.
If you could make any video combining genetic programming with monte carlo tree search, it would be highly appreciated.
MCTS is the subject of my thesis and I really wanna see if combining it with GP is posible or not.
Thanks