Udemy - Complete Bootcamp 2021 - Feature selection using Python torrent

Complete Bootcamp 2021 : Feature selection using Python



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 40 lectures (3h 41m) | Size: 1.26 GB
A Course by Kaggle grandmaster on Feature Selection : Machine Learning, Scikit Learn, Pandas, mlextend, clean your data
What you'll learn:
Feature Selection using Python machine learning packages Pandas, scikit-learn(sklearn), mlxtend
Learn the concept behind feature selection, detail discussion on feature selection method (filter, wrapper and embedded)
Filter methods selector like variance, F-Score, Mutual Information etc..
Wrapper Method : Exhaustive, Forward and Backward Selection
Embedded Method : Lasso Decision Tree, Random Forest, ExtraTree etc
Implemented with more than 15 Projects
Ready to use code in machine learning projects
Feature selection technique people used in Competitions.

Requirements
Familiarity with Python programming
Working knowledge of Jupyter Notebook
Working Knowledge of Pandas and Numpy
Working Knowledge of Machine learning Model Creation using sklearn
Understanding of Statistical methods like chisquare test

Description
Feature selection is one of most important activity in machine learning/Artificial Intelligence pipeline. We select all relevant features for machine learning algorithm and discard less relevant or not relevant features. Feature selection is also known as variable selection.This course will provide learner, detailed knowledge of feature selection. It is one of most detailed online course on feature selection.

Who is this course for ?