Udemy – Feature Selection for Machine Learning 2024-9

Udemy – Feature Selection for Machine Learning 2024-9 Downloadly IRSpace

Apr 17, 2025 - 10:12 Updated: Apr 20, 2025 - 18:15

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Udemy – Feature Selection for Machine Learning 2024-9

Feature Selection for Machine Learning is a training course on feature selection and feature selection for machine learning, published by Udemy Academy. This training course contains a series of different topics, among which the most important ones include filters, embedded methods, recursive feature elimination method, wrapper method, He mentioned exhaustive search, feature shuffling, etc. During this training course, you will be familiar with different methods of selecting variables in data sets and you will be able to create simpler, faster and more professional machine learning models. If you have just entered the big world of machine learning, you know that there are various pre-made models for collecting variables.

It is very likely that you have already worked with models based on linear regression and decision trees and managed to build several simple and trivial systems. Many beginner students in the field of machine learning are familiar with topics such as various data preprocessing techniques such as removing lost and destroyed data, changing and transforming variables, encoding categorized variables, etc. You must have noticed by now that a large number of information sets have an infinite set of features or their features are so similar to each other that it is impossible to distinguish between them.

What you will learn in Feature Selection for Machine Learning:

Removing features with very low variance
Identify additional features
Feature selection based on various statistical tests
Feature selection based on changes in model performance
Finding predictable changes based on the importance of models
Using different Python libraries for feature selection
And …

Course specifications

Publisher: Udemy
Instructors: Soledad Galli
Language: English
Level: Intermediate
Number of Lessons: 88
Duration: 5 hours and 50 minutes

Course topics

Feature Selection for Machine Learning

Feature Selection for Machine Learning Prerequisites

A Python installation
Jupyter notebook installation
Python coding skills
Some experience with Numpy and Pandas
Familiarity with Machine Learning algorithms
Familiarity with scikit-learn

Pictures

Feature Selection for Machine Learning

Feature Selection for Machine Learning introduction video

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 1080p

The 2024/9 version has increased by 1 lesson and 1 minute in duration compared to 2022/6. The course quality has also increased from 720p to 1080p.

Udemy – Feature Selection for Machine Learning 2024-9