How Decision Tree Works?|How Decision Tree Algorithm Works|Decision Tree In Machine Learning

preview_player
Показать описание
How Decision Tree Works?|How Decision Tree Algorithm Works|Decision Tree In Machine Learning
#DecisionTree #DecisionTreeLearning #UnfoldDataScience

Welcome! I'm Aman, a Data Scientist & AI Mentor.

🚀 **Level Up Your Skills:**

* **Udemy Courses:** 🔥 **Start Learning Now!** 🔥
* X (Twitter): @unfolds
* Instagram: @unfold_data_science

🎬 **Featured Playlists:**

🎥 **My Studio Gear:**

#DataScience #AI #MachineLearning

About this video:
A Decision Tree recursively splits training data into subsets based on the value of a single attribute. Each split corresponds to a node in the. Splitting stops when every subset is pure (all elements belong to a single class) -- this can always be achieved, unless there are duplicate training examples with different classes.
Рекомендации по теме
Комментарии
Автор

Useful information... Good presentation Aman

GopiKumar-nyxx
Автор

You're awesome!! A week away from my exams and I'm so lucky to have found your channel!

leihan
Автор

Hi Aman,
In the last scenario, where Loan Amount = 200, it traverses the left branch. For Id > 2, in the right branch we have 2 records. Here at 6:34, you say both the ID have "Load Status" as Good, so based on Majority voting Good is predicted. What if here Good and Bad are present? How can we predict in this case?
Thanks in advance

DilipKumar-wwsi
Автор

how simple, concise and beautiful is your explanation

hassanabdullahi
Автор

simple and clear on decision tree. thank you so much. i recommend all to see.

askpioneer
Автор

Loved the way you explained such complex models in easy way

salmanhaider
Автор

4:35 What is the reason for taking ID>2? Then at 4:53, you said that we only have 1 ID greater than 2 which is 4 while 3 is also greater than 2. how can you say we only have 1 id greater than 2?

HSN.LTD
Автор

Could you make a video on different types of decision tree like ID3, CART and others ? I really like your explanation.

rishigupta
Автор

You are soo Good. Thank you so much, Aman.

bujinmasha
Автор

Another important topic covered in simple words.👌👍👏

preranatiwary
Автор

This topic is relatively important for me thank you sir

Kumarsashi-qyxh
Автор

how do u select <300 why not 150 what is the measure that we have to consider?

puredlasriharibabu
Автор

Really good material, but I think would be even better if you create some more playlists, or a giant ordered playlist.
Definitely will make it easier for people to follow the string of videos. :)

kamran_desu
Автор

In wich basis the algorithm defined cutoff for the feature .for ex id more than 200.

mazenomar
Автор

Sir, ek video k-means clustering pe bna dete toh acha hota..it's very difficult to understand

minGoodness
Автор

on what kind of dataset we will decide that we have to use Decison Tree algorithm not any other kind of algorithm...

MohitGupta-szbh
Автор

Why the tree is upside down, the root/node supposed be at the bottom, and the branch at the top

tadhailu
Автор

Sir,
Should I take work-from-home internship related to data science? Are these internships a good thing to add into my resume? Please help

World-vfts
Автор

What is majerety, is he talking about majority?

hamin
Автор

What if there are equal number of classes of a node, how would it predict for new test data

jaswanthksk
visit shbcf.ru