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Case Study: School Budgeting with Machine Learning in Python

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Data science is not only useful for predicting ad clicks but also helps to make a social impact. This is a case study from a Machine Learning Competition at DrivenData. This course will address a problem that impacts school district budgeting. Schools can compare their spending with other schools easier by creating a model which automatically classifies items in school budgets. This course will show you how to create a basic model. Natural language processing will be taught to help you prepare modeling budgets. Next, you will need to compare your methods to other contestants. The winner is the person who can combine multiple expert techniques to create the best model.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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

Skills You Will Gain

Prerequisites/Requirements

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Supervised Learning with scikit-learn

What You Will Learn

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You'll explore a problem related to school district budgeting

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You'll begin by building a baseline model that is a simple, first-pass approach

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You'll do some natural language processing to prepare the budgets for modeling

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You'll have the opportunity to try your own techniques and see how they compare to participants from the competition

Course Instructors

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Peter Bull

Co-founder of DrivenData

Peter is a co-founder of DrivenData. He earned his master's in Computational Science and Engineering from Harvard School of Engineering and Applied Sciences. His work lies at the intersection of stat...

Course Reviews

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Course Cover

$12

$6

49% OFF

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