Hands On Training

Extreme Gradient Boosting with XGBoost

Name: Extreme Gradient Boosting with XGBoost
Brand: Careervira
Price: 74 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Are you familiarized with supervised learning? Are you looking to apply state of the art models to real-world data using state-of-the-art techniques? Gradient boosting is one the most popular methods for efficiently modeling tabular data of any size. XGboost is a fast, scalable solution for gradient boosting that has won numerous online data science contests. XGBoost models are widely used in different industries. This course will show you how to use scikit and pandas to create and tune supervised learning models. Real-world data will be used to solve classification and regression problems.

Highlights

Hands on training

Top 1 Percentile

Rating & Reviews

Top 30 Percentile

Parameters

Hands on training

This course stands out as one of the top 1 percentile options in Machine Learning, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. This course is a standout choice among top Machine Learning courses, offering comprehensive hands-on training, a capstone project, case-based learning, and virtual labs. Learners gain practical experience through interactive training and apply their skills in real-world scenarios. This holistic approach equips learners with both theoretical knowledge and practical skills for success in the Machine Learning industry.

Rating & Reviews

This highly acclaimed course is among the top-rated in Machine Learning, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Machine Learning.

Course Overview

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

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

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Supervised Learning with scikit-learn

Case Study: School Budgeting with Machine Learning in Python

What You Will Learn

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

Expand all sections

Module 1: Classification with XGBoost

Module 2: Regression with XGBoost

Module 3: Fine-tuning your XGBoost model

Module 4: Using XGBoost in pipelines

Course Instructors

Sergey Fogelson

VP of Analytics and Measurement Sciences, Viacom

Sergey loves applying his quantitative skills to large-scale data intensive problems, mentoring junior colleagues, and is an avid learner who is always trying to refine his programming chops and to a...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%