Add feature selection to a Pipeline

preview_player
Показать описание
It's simple to add feature selection to a Pipeline:
1. Use SelectPercentile to keep the highest scoring features
2. Add feature selection after preprocessing but before model building

P.S. Make sure to tune the percentile value!

👉 New tips every TUESDAY and THURSDAY! 👈

=== WANT TO GET BETTER AT MACHINE LEARNING? ===

3) LET'S CONNECT!
  1. Data School
  2. python
  3. machine learning
  4. scikit-learn
  5. data science
Рекомендации по теме
Add feature selection 0:02:29

Add feature selection to a Pipeline

Feature Selection In 0:22:39

Feature Selection In Machine Learning | Feature Selection Techniques With Examples | Simplilearn

Feature Selection in 0:09:36

Feature Selection in Machine Learning: Easy Explanation for Data Science Interviews

Feature Selection in 0:03:05

Feature Selection in Machine Learning

Machine Learning Course 0:32:30

Machine Learning Course - 5. Introduction to Feature Selection

Feature selection in 0:46:41

Feature selection in machine learning | Full course

Feature Selection for 0:35:31

Feature Selection for Machine Learning

What is Feature 0:02:19

What is Feature Selection in Machine Learning Explained For Beginners (With Examples)

Feature Selection - 0:03:14

Feature Selection - Georgia Tech - Machine Learning

Tutorial 2- Feature 0:14:33

Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation

13.4.5 Sequential Feature 0:23:36

13.4.5 Sequential Feature Selection -- Code Examples (L13: Feature Selection)

Tutorial 1- Feature 0:14:27

Tutorial 1- Feature Selection-How To Drop Constant Features Using Variance Threshold

How do I 0:13:16

How do I select features for Machine Learning?

Feature Selection in 0:27:45

Feature Selection in Python | Machine Learning Basics | Boston Housing Data

Feature Selection Wrapper 0:18:27

Feature Selection Wrapper and Embedded techniques | Feature Selection Playlist

Feature Selection | 0:10:47

Feature Selection | Wrapper | Filter | Embeded Intrinsic Method in Machine Learning by Mahesh Huddar

Backward Feature Selection 0:03:53

Backward Feature Selection | Feature Selection | Machine Learning

13.4.4 Sequential Feature 0:30:00

13.4.4 Sequential Feature Selection (L13: Feature Selection)

Feature Selection techniques 0:18:44

Feature Selection techniques in Python | feature selection machine learning | machine learning tips

Machine Learning with 0:07:52

Machine Learning with Scikit-Learn - Part 42 - Automatic Feature Selection 1

Feature Selection & 0:00:58

Feature Selection & Biryani 🍅🥦

Feature Selection with 0:01:23

Feature Selection with Boruta, MRMR, and Recursive Feature Elimination

Python Feature Selection: 0:21:17

Python Feature Selection: Forward Feature Selection | Feature Selection | Python

Feature Selection Methods 0:13:27

Feature Selection Methods for Machine Learning, plus Feature Selection Curves

Комментарии
Автор

Before this video, I was doing fs manually, then was building pipelines. You literally made my life easier😀 Thank you!

Мага-оо
Автор

Can chi2 be used to find the relationship between all types of data (here I mean quantitive-quantitive, quantitive-categorical, categorical-quantitive, categorical-categorical)? If not, what other measures should be used for particular combinations?

Dnz
Автор

I'm trying to figure out how to do all the categorical encoding and feature selection using make_Pipeline, then list out the coeffiencts. I have not see anyone do a guide on all, they either leave out categorical then feature selection or vice versa

dashdash_peacecampaign
Автор

can you please make a complete python for data analysis course. I think your a great teacher and many people will benefit from it.

hhbbhvvbjhbbyjj