Pluralsight.Applied.Classification.with.XGBoost-XQZT
Another
release
Applied Classification with XGBoost
310.8 MB
08/08/2019
Course # : N/A
Published : Aug 7 2019
Modified : N/A
URL : www.pluralsight.com/library/courses/applied-classification-xgboost
Author : Matt Harrison
Duration : 2h 2m
Skill : Intermediate
Exer/Code : [X]
Description:
Are you a data professional who needs a complete, end-to-end classification
demonstration of XGBoost and the libraries surrounding it? In this course,
Applied Classification with XGBoost, you'll get introduced to the popular
XGBoost library, an advanced ML tool for classification and regression. First,
you'll explore the underpinnings of the XGBoost algorithm, see a base-line
model, and review the decision tree. Next, you'll discover how boosting works
using Jupyter Notebook demos, as well as see preliminary exploratory data
analysis in action. Finally, you'll learn how to create, evaluate, and explain
data using third party libraries. You won't be using the Iris or Titanic data-
set, you'll use real survey data! By the end of this course, you'll be able to
take raw data, prepare it, model a classifier, and explore the performance of
it. Using the provided notebook, you can follow along on your own machine, or
take and adapt the code to your needs.
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