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Introduction to Gradient Boosting
This course introduces the concepts of Gradient Boosting Classifier and how it can be applied to achieve better accuracy & predictions for the problem in hand.
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2 Data Cases
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1 Reading
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1 Quiz
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Difficulty: Advanced
Prior education or professional experience required
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Duration: Approximately 5 hours
Course Overview
- The course familiarizes the learner with the concept of Boosting in Machine Learning emphasizing on the Gradient Boosting algorithm and the underlying mathematical concepts.
- Develop a working understanding of the Gradient Boosting algorithm.
- Learn various hyperparameters used in Gradient Boosting.
- Learn to derive insights by applying Gradient Boosting algorithm on a Use-Case.
What’s included
Flexible Scheduling
Start learning online immediately, at your own pace
Desktop Only
We recommend completing this project on a desktop
Skills you will learn
Associated Learning Tracks
Gradient Boosting Classifier is a machine learning technique, which uses an ensemble of weak prediction models for building classification model. Model is build in sequential process, where each new step tries to minimize the errors of the previous step. This course will provide you in-depth understanding of the algorithm alongwith its practical use case.
How it Works
Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.
With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.
Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.
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Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.
Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.
No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.
- We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
- We also work with enterprises and universities to develop new content directed towards their industry and expertise.
