Download Udemy – Feature Selection for Machine Learning 2022-6

Feature Selection for Machine Learning


Feature Selection for Machine Learning is a training course on feature selection and feature selection for machine learning, published by Yudemy 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 data 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 the Feature Selection for Machine Learning training course:

  • 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 details

Publisher: Yudmi
teacher: Soledad Galli
English language
Education level: Intermediate
Number of courses: 87
Training duration: 5 hours and 49 minutes

Course headings

Prerequisites for the Feature Selection for Machine Learning course

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

Course images

Feature Selection for Machine Learning

Feature Selection for Machine Learning course introduction video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 205 MB

Password file(s):


2.2 GB

4.1/5 – (2352 points)

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