Description
Feature Selection for Machine Learning is a training course on feature selection and feature selection for machine learning, published by Udemy Academy. This training contains a series of different topics, among which the most important ones include filters, built-in methods, recursive feature elimination method, wrapper method, exhaustive search, feature shuffling, etc. During this training, you will become familiar with different methods of selecting variables in datasets 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 different predefined 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 students starting out in the field of machine learning are familiar with topics such as various data preprocessing techniques such as removing lost and destroyed data, modifying and transforming variables, encoding categorized variables, etc. You must have already noticed that a large number of sets of information have an infinite set of characteristics or their characteristics are so similar to each other that it is impossible to distinguish them.
What you’ll 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
- Find predictable changes based on pattern importance
- Using different Python libraries for feature selection
- And…
Course Specifications
Editor: Udemy
Instructors: Soledad Galli
French language
Intermediate level
Number of lessons: 87
Duration: 5 hours and 49 minutes
course topics
Feature Selection for Machine Learning Prerequisites
A Python installation
Installing Jupyter Notebook
Python coding skills
Some experience with Numpy and Pandas
Familiarity with Machine Learning algorithms
Familiarity with scikit-learn
Pictures
Introductory video on feature selection for machine learning
installation guide
After the clip, watch with your favorite reader.
english subtitles
Quality: 720p
Download link
File password(s): free download software
size
2.2 GB