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Extreme Gradient Boosting with XGBoost

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Certification

Extreme Gradient Boosting with XGBoost

Learn the basics and build machine learning models using XGBoost to solve classification and regression problems.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

Data ModelingSupervised LearningDecision TreeRegression Analysis

Learning Goals

In this course, you'll learn how to use this powerful library alongside pandas and scikit-learn to build and tune supervised learning models
You'll work with real-world datasets to solve classification and regression problems

Course Content

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Prerequisites/Requirements

Supervised Learning with scikit-learn
Case Study: School Budgeting with Machine Learning in Python

Instructors

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Sergey Fogelson

VP of Analytics and Measurement Sciences, Viacom

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Course Overview

Case Studies, Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

Case-Based Learning

CapStone project

International faculty

Reviews

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Course Cover

₹1,093

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