Classification Trees in Python from Start to Finish

This webinar was recorded 20200528 at 11:00am (New York time).

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0:00 Awesome song and introduction
5:23 Import Modules
7:40 Import Data
11:18 Missing Data Part 1: Identifying
15:57 Missing Data Part 2: Dealing with it
21:16 Format Data Part 1: X and y
23:33 Format Data Part 2: One-Hot Encoding
37:29 Build Preliminary Tree
46:31 Pruning Part 1: Visualize Alpha
51:22 Pruning Part 2: Cross Validation
56:46 Build and Draw Final Tree

#StatQuest #ML #ClassificationTrees

[nuttysg]

BAM! My best decision this year was to follow your channel.

[renekokoschka]

I just started my bachelor thesis and i really wanted to thank you!
Your videos are helping me so much.
You are a

[SashaLamp]

Thank you, this video helped me a lot! For anyone else following along in 2023, the way the confusion matrix is drawn here didn't work for me anymore. I replaced it with the following code:

cm = confusion_matrix(y_test, clf_dt_pruned.predict(x_test), labels = clf_dt_pruned.classes_)

disp = = cm, display_labels=['Does not have HD', "Has HD"])

disp.plot()

plt.show()

[jahanvi]

You are so so helpful!! I am a data science major and your videos saved my academics. Thank you!!

[ravi_krishna_reddy]

I was searching for a tutorial related to statistics and landed here. At first, I thought this is just one among many low quality content tutorials out there, but I was wrong. This is one of the best statistics and data science related channels I have seen so far, wonderful explanation by Josh. Addicted to this channel and subscribed. Thank you Josh for sharing your knowledge and making us learn in a constructive way.

[abzxcvbn]

Hi Josh! You're helping me get ready for a life-changing case and interview.
Thank you for all the amazing and thoroughly detailed videos.

[dhruvishah]

I'm absolute beginner and this is what i was looking. Thank you so much for this. Much appreciated sir!!

[ozzyfromspace]

I dunno how I stumbled on your channel a few videos ago, but you've really got me interested in statistics. Nice Work sir 😃

[aleksandartta]

How to implement pipeline with cost complexity? Consider the marking part which start before 49:00... Thank in advance! You are the best teacher...

[ccuny]

I have already commented but I watched the video again and I have to say I am even more impressed than before. truly fantastic tutorial, not too verbose but with every action clarified and commented in the code, beautifully presented (I have to work on my markdown; there are quite a few markdown formats you use that I cannot replicate...to study when I get the notebook). So all in all, one of the very top ML tuts I have ever watched (including paid for training courses). Can't wait for today's or tomorrows webinars. Can't join in real time as based in Europe, but will definitely pick it up here and get the accompanying study guides/code.

[gbchrs]

your channel is the best at explaining complex machine learning algorithm step by step. please make more videos

[pratyushmisra]

My intro song for this channel:
" It's like Josh has got his hands on python right,
He teaches Ml and AI really Well and tight ---- STAT QUEST"
btw thanks Brother for so much wonderful content for

[rogerwilcoshirley]

excellent thorough tutorial - appreciate all the careful work that went into it.

[montserratramirez]

I love your content! Definitely my favorite channel this year
Regards from Mexico!

[kaimueric]

I actually think it can be great if you created more videos for other ML algorithms. After teaching us almost every aspect of machine learning algorithms as far as the mechanics and the related fundamentals are concerned, I feel it is high time to see those in action, and Python is, of course, the best way to go.

[jefferyg]

You explain things in a way that is easy to understand. Bravo!

[joaomanoellins]

I loved your Brazil polo shirt! Triple bam!!! Thank you for your videos. Regards from Brazil!

[liranzaidman]

Josh,
this is really great.
Can you upload videos with some insights on your personal research and which methods did you use?
And some examples of why you prefer to use one method instead of the other? I mean, not only because you get a better result in RUC/AUC but is there a "biological" reasoning for using a specific method?

[ccuny]

Another hit for me. I will be getting the Jupyter notebook and some if not all of you study guides (I only just realised they existed).

[creativeo]

This video helped me a lot for my Data Mining assignment.. Thank you..