How to Build Your First Decision Tree in Python (scikit-learn)
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- Опубликовано: 2 окт 2024
- Are you intrigued by the power of decision-making in machine learning?
By the end of this tutorial, you'll have a solid grasp of Decision Trees, be capable of implementing them in Python, and understand their role in various machine learning projects.
What you'll discover:
The fundamentals of Decision Trees: How they make decisions and create splits
Hands-on coding: Building Decision Trees in Python using popular libraries
Pruning and preventing overfitting: Strategies for optimizing Decision Tree performance
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Amazing! You explained the task concisely and clearly! Thank you very much!
Glad it was helpful!
Wonderful, this video saved me hours of reading documentation. Thank you very much 👍
13 is the number of features right? so if I have 60 columns 0:60?
what the heck is this??😢 I’m literally taking my first AI course and my prof demanded such project like this .
she didn’t even explained or taught us Python first
Have a lot of Python vids and working on a beginner series so hopefully it helps
good tutorial but you are explaining concepts shallowly men
Thanks, Ryan. You are the best. Quick question- does it matter if i use the standard scaler for the data. If so, do i perform it before train test split or after? Also, i think it may be best if you put this in front of the Random Forest on your playlist. Thanks again
I'll move this infront of it now, thanks. I've been working on revamping the playlists and desxcriptions this week. Preprocess your data before you split btw
This was so helpful and straight to the point.
Tbh, I got the logic from other channels but the implementation here was a breeze.
I am dragging my friends here.
God bless!
Thanks
Thanks so much for your video but i have a question, I follow everything you did but when i do the print(classification_report(y_test, y_pred)) i have 7 rows, not only two.
Why did this happen?
Thanks for the video! I have a question, in this part that we're talking about the importance of each feature(11:47), is it calculated by the gini?
Hey man, I'm quite new to machine learning and I would like to know what IDE are you using in this video?
Google collab
Thanks!@@RyanAndMattDataScience
@@RyanAndMattDataScience it looks like Jupyter.
@@srivardhan1042ah probably is, it’s an older vid. I use collab now
Where is the link of the csv
Great video and explanation, didn't believe that you only have 8k subs...
I’ve only had the channel for a year. I wish I had more though!
Hi. I'm still learning python and may I ask. How will you add another data on that? For example I want to predict a new player if he will be among the HOF. My input will be only one. Shall I import a new CSV file containing that data then put it on X_test, and y_test? Thank you.
Once you have a model built you can predict on it with inputs.
Is it possible to output multiple results for one input? Im currently trying to build a College Course Recommender and the Inputs are based on the student grades, strand, hobbies/likes then output multiple possible courses that fits the inputs?
@@RyanAndMattDataScience
Great video. Thanks man , this video helped me with my Final assessment
No problem
can you share the notebook file?
I plan on doing a bulk upload to GitHub in the future for all the videos