Case Study: School Budgeting with Machine Learning in Python
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
Highlights
Rating & Reviews
Top 30 Percentile
Hands on training
Top 20 Percentile
Parameters
Hands on training
This course stands out as one of the top 20 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. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.
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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.
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Course Overview
Virtual Labs
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Supervised Learning with scikit-learn
What You Will Learn
You'll explore a problem related to school district budgeting
You'll begin by building a baseline model that is a simple, first-pass approach
You'll do some natural language processing to prepare the budgets for modeling
You'll have the opportunity to try your own techniques and see how they compare to participants from the competition
Course Instructors
Peter Bull
Co-founder of DrivenData
Course Reviews
Average Rating Based on 3 reviews
100%