13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection)
Sebastian's books: https://sebastianraschka.com/books/ Sorry, I had some issues with the microphone (a too aggressive filter to remove background noise). Should be better in the next vids! Description: This video dives into "filter methods" for feature selection. In particular, we focus on using a variance threshold to select informative features. Code: https://github.com/rasbt/stat451-mach... Slides: https://sebastianraschka.com/pdf/lect... ------- This video is part of my Introduction of Machine Learning course. Next video: • 13.3.1 L1-regularized Logistic Regression ... The complete playlist: • Intro to Machine Learning and Statistical ... A handy overview page with links to the materials: https://sebastianraschka.com/blog/202... ------- If you want to be notified about future videos, please consider subscribing to my channel: / sebastianraschka
13.3.1 L1-regularized Logistic Regression as Embedded Feature Selection (L13: Feature Selection)
13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)
7.3 Bagging (L07: Ensemble Methods)
13.4.1 Recursive Feature Elimination (L13: Feature Selection)
13.4.4 Sequential Feature Selection (L13: Feature Selection)
I am done with Golang
Regression assumptions explained!
Train Your Brain to Never Forget (5 Feynman Habits)
7.4 Boosting and AdaBoost (L07: Ensemble Methods)
13.4.2 Feature Permutation Importance (L13: Feature Selection)
Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
13.1 The Different Categories of Feature Selection (L13: Feature Selection)
4.1 Intro to NumPy (L04: Scientific Computing in Python)
Decision and Classification Trees, Clearly Explained!!!
40Hz Binaural Gamma Waves - Ultra Deep Concentration
13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)
Feature Engineering Techniques For Machine Learning in Python
If You Have A Bad Memory, I’ll Help You Fix It In 28 Minutes
Feature Selection In Machine Learning | Feature Selection Techniques With Examples | Simplilearn
