Feature importance and model interpretation in Python free download

Feature importance and model interpretation in Python free download
Feature importance makes us better understand the information behind data and allows us to reduce the dimensionality of our problem . A common dimensionality reduction technique based on feature importance is the Recursive Feature Elimination . Model interpretation helps us to correctly analyze and interpret the results of a model . How to use SHAP technique to calculate feature importance of every model. How to apply RFE with and without cross-validation. A common approach for calculating model. What you’ll learn in Feature importance and model interpretation in Python using Python programming language. The practical course is based on a practical use of the language and a common approach to calculating model .

What you’ll learn in Function significance and model interpretation in Python

  1. Exactly how to calculate feature value according to several models
  2. Just how to make use of SHAP technique to calculate feature importance of every model
  3. Recursive Feature Elimination
  4. Exactly how to use RFE with and also without cross-validation

Description

In this functional training course, we are going to concentrate on function significance as well as version interpretation in supervised machine learning utilizing Python shows language.

Attribute importance makes us better recognize the details behind data as well as enables us to reduce the dimensionality of our issue taking into consideration just the relevant info, discarding all the worthless variables. A typical dimensionality reduction strategy based on attribute significance is the Recursive Function Removal.

Version interpretation aids us to correctly evaluate as well as interpret the outcomes of a model. A common method for calculating version analysis is the SHAP technique.

With this course, you are mosting likely to discover:

All the lessons of this program beginning with a quick intro as well as end with a functional instance in Python programs language and also its effective scikit-learn collection. The environment that will be made use of is Jupyter, which is a criterion in the information science sector. All the Jupyter note pads are downloadable.

This training course is part of my Monitored Artificial Intelligence in Python on-line training course, so you’ll find some lessons that are already included in the larger training course.

Who this course is for:

  • Python developers
  • Data Scientists
  • Computer engineers
  • Researchers
  • Students
File Name :Feature importance and model interpretation in Python free download
Content Source:udemy
Genre / Category:Development
File Size :0.61 gb
Publisher :Gianluca Malato
Updated and Published:08 Aug,2022
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File name: Feature-importance-and-model-interpretation-in-Python.rar
File Size:0.61 gb
Course duration:1 hours
Instructor Name:Gianluca Malato
Language:English
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