Decision Tree Regression Using Scikit-Learn | Machine Learning | Python | Code Warriors

We are welcoming all of you on this tutorial.

In this video we will discuss about basics of Decision Tree Regression Using Scikit-Learn.

A Decision tree is a flowchart like tree structure, where each internal node denotes a test on an attribute, each branch represents an outcome of the test, and each leaf node (terminal node) holds a class label.

Stay tune for more videos on ML tutorial and Subscribe our channel and turn on your notification for upcoming videos.

LinkedIn

[AbhishekGupta-zfsw]

Got the understanding of decision tree model and its implementation in sklearn

[ameliadsouza]

Thanks for the tree regression module explanation.

[nandanasreeraj]

It was a good session....i could understand the concept of regression tree in depth.. thanks

[saipraveen]

Learnt about decision tree regression.Thank you

[krushnaprasadsahoo]

In this session I got to know about decision tree regression algorithm using sklearn and it implementation .

[rashmisahoo]

In this session, i learnt about decision tree regression its implementation and its model.

[jerrund]

Decision tree regression algorithms were explained well, thanks!

[deepakpamwani]

I learned about the decision tree regression & it's implementation

[jaisonj]

Learnt about decision tree regression. The course is good and easy to understand

[anuragkumarsingh]

I understood Decision tree regression

[veenab.s]

Learnt decision tree regression and implementing the same.

[vivekmore]

In this section i have learned the concepts of Decision tree Regression and how can we implement Decision tree model using skLearn library

[abdulazimrajmohamed]

In this video I got to learn about Decision Tree Regression and its uses and how to implement it using Sckit Learning.

[priyankamirajkar]

Learnt about decision tree using scikitlearn

[kanchansharma]

In this session, I got to know about decision tree regression, its uses and how to implement it.Also about splitting in decision tree and fitting decision tree to datasets.

[kashishmittal]

in this lecture we learnt:
1. concept of decision tree
2.splitting done by decision tree
3. finding average value of each region
4. fitting decision tree to dataset
5.visualize it at higher resolution

[KhushiSingh-xvpo]

In this session we learnt about:-
*splitting in decision tree
*fitting decision Tree
*visualize

[pranitalokhande]

Summary
In this session we know about tree regression and how it's implement and it is very good concept.

[vinayjoy]

In this video, I got to learn about Decision Tree Regression its uses and how to implement it

[sujithbk]

In this video, I come to know about decision tree regression using sklearn