Find Actionable Insights using Machine Learning and XGBoost

Let's Build a Student Retention Model with Python and Create a Report of Actionable Insights
4.31 (116 reviews)
Udemy
platform
English
language
Data Science
category
Manuel Amunategui
instructor
Find Actionable Insights using Machine Learning and XGBoost
4 865
students
37 mins
content
Mar 2020
last update
FREE
regular price

What you will learn

Build a report of actionable insights using modeling and data analysis

Model student behavior using XGBoost and predict struggling/at-risk students

Explore student data and identify what makes a struggling student different than successful students

Help teachers help students - and apply this insight-extracting approach to your other projects and models

Screenshots

Find Actionable Insights using Machine Learning and XGBoost - Screenshot_01Find Actionable Insights using Machine Learning and XGBoost - Screenshot_02Find Actionable Insights using Machine Learning and XGBoost - Screenshot_03Find Actionable Insights using Machine Learning and XGBoost - Screenshot_04
Related Topics
2847034
udemy ID
02/03/2020
course created date
11/03/2020
course indexed date
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