Regression Using GLM and DecisionTree

you own this product
prerequisites
basics of Julia and plotting libraries • basics of data wrangling
skills learned
build linear regression and random forest models • evaluate models and explore their output • save model to the file for further reuse
Łukasz Kraiński and Bogumił Kamiński
1 week · 6-8 hours per week · INTERMEDIATE
Included with a Manning Online subscription
catalog / Data Science

pro $24.99 per month

  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose one free eBook per month to keep
  • exclusive 50% discount on all purchases
  • renews monthly, pause or cancel renewal anytime

lite $19.99 per month

  • access to all Manning books, including MEAPs!

team

5, 10 or 20 seats+ for your team - learn more

Look inside
In this liveProject, you’ll use the Julia language to build a regression-based machine learning model that can predict median house value in a neighborhood. You’ll start out with a simple linear regression model to give you a baseline value for quality metrics created with Julia’s package for Generalized Linear Models. You’ll then tune and assess a random forest model, and compare and contrast the two approaches to pick the best results.
This project is a part of the series Hands-on Data Science with Julia.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

prerequisites

This liveProject is for experienced data scientists and data analysts who are interested in building their skills in Julia. To begin this liveProject, you will need to be familiar with:

TOOLS
  • Basics of Jupyter Notebook
  • Basics of Julia and intermediate experience with another high-level programming language such as Python or R
  • Basics of GLM.jl, DecisionTree.jl, and HypothesisTests.jl packages
  • Basics of plotting libraries
  • Basics of Arrow data format and DataFrames.jl
TECHNIQUES
  • Basics of data wrangling
  • Basics visualization techniques (scatterplots, histograms)
  • Basics of bootstrapping
  • Basics of command pipelines
  • Basic serialization
  • Basic statistical hypothesis testing

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from fellow participants and even more help with paid sessions with our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

related titles

choose your plan

pro

monthly
annual
$24.99
$249.99
only $20.83 per month
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • renews monthly, pause or cancel renewal anytime
  • renews annually, pause or cancel renewal anytime
  • Regression Using GLM and DecisionTree project for free

team

monthly
annual
$49.99
$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • renews monthly, pause or cancel renewal anytime
  • renews annually, pause or cancel renewal anytime
  • Regression Using GLM and DecisionTree project for free