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
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 Content
Module 1: Exploring the raw data
1. Introducing the challenge
2. What category of problem is this?
3. What is the goal of the algorithm?
4. Exploring the data
5. Loading the data
6. Summarizing the data
7. Looking at the datatypes
8. Exploring datatypes in pandas
9. Encode the labels as categorical variables
10. Counting unique labels
11. How do we measure success?
12. Penalizing highly confident wrong answers
13. Computing log loss with NumPy
Course Instructors
Course Reviews
Average Rating Based on 3 reviews
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