General Boosting & Bagging Training

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Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Instructor-led Training Live Online Classes

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Mar, 2024 Weekdays Mon-Fri Enquire Now
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General Boosting & Bagging Training Course Overview

General Boosting and Bagging course provides in-depth insight on creating and implementing prediction functions, which includes a strong focus on the practical application of machine learning using boosting and bagging methods. Focusing on the path that include a range of model based and algorithmic machine learning methods such as Random Forest, Boosting & Bagging methods and Support Vector Machines. Moreover, the training is beneficial for the candidates willing to make their career flourished in the vast field of data analytics, via implementing the machine learning ethics to give their work the touch of advancement.

Here are some of the important aspects that will help the candidates in understanding the importance of  General Boosting and Bagging training in their career:

  • The candidates will learn about implementing the prediction functions with a strong focus on the practical application of machine learning.
  • After the training they would be able to learn how to use boosting and bagging methods effectively.
  • The training insight on the use of algorithmic machine learning such as: Support Vector Machines, Random Forest, Boosting and Bagging methods.
  • It offers in-depth insight on the analysis of the credit data to perform well in the real time scenario
  • The course modules enable insight on the Titanic Accident
  • The training helps to understand the categorical variables and continuous variables
Target audience

Professionals from IT field who have to deal with the logical formulas and wish to learn the ethics of Machine Learning

Prerequisites

Prior opting General Boosting and Bagging training, the candidates should have the fundamental understanding of statistics, classification and regression techniques, Language of R, and the basics of machine learning.

General Boosting & Bagging Training Course Content

1. Decision Tree Ensembles: Bagging and Boosting

  • The Decision tree Review
  • Bias Variance Tradeoffs
  • Bagging

2. The Case Study: Analysis of Credit Data

  • Analysis of credit Data: Categorical Variables and EDA_Cross_Tabs_Continuous Variables

3. The Case Study: The Titanic Accident

  • About The Titanic Accident

4. The Case Study: Comparing Algorithms

  • About Comparing Algorithm

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Free General Boosting Training Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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General Boosting Corporate Training

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Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements

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Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements

Learning Assessment

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  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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