The Examples Book
Appendices
Corporate Partners National Data Mine Network Personal Programming Languages Projects Registration Seminar TA Starter Guides Template Module The Data Mine Workshops The Examples Book University Partners

Starter Guides

    • Introduction
    • Data Science
      • Data Modeling Process
        • Introduction
        • General Principles
          • The Meaning of f(x) in Data Science
          • Bias Variance Tradeoff
          • Curse Of Dimensionality
          • Frequentism and Bayesianism
        • Resampling Methods
          • Cross Validation
            • Train, Valid and Test Splits
            • Leave-One-Out CV & k-Fold CV
        • Modeling Process
          • Choosing a Model
            • Flexibility vs. Interpretability
            • Prediction vs. Inference
            • Classification vs. Regression
            • Parameterization
            • Supervision
          • Step By Step Process
            • Data Wrangling
            • EDA: Exploratory Data Analysis
            • Thinking About The Output
            • Building Data Pipelines
            • Preprocessing
            • Training/Fitting Your Model
            • Measuring Model Fit
            • Model Deployment
      • Data Analysis Techniques
        • Introduction
        • Natural Language Processing(NLP)
          • NLTK (Natural Language Toolkit)
          • Sentiment Analysis
          • Chatbots
          • Prodigy
            • Deploy and Access
          • Word Embeddings
            • Protein Sequence Embedding
          • Transformers
        • GIS
          • GIS Basic Example
          • ArcGIS
          • Basic PostGIS
          • Advanced PostGIS
          • Map Matching
          • Route Optimization
        • Neural Networks/Deep Learning
          • Recurrent Neural Networks
          • Convolutional Neural Networks
        • Computer Vision
        • Clustering
        • Trees
        • Naive Bayes
        • k-Nearest Neighbors
      • Data Visualization
        • Dashboarding Tools
          • PowerBI
          • Tableau
        • With Python
          • Matplotlib, Plotly (Programming Languages Book)
        • With R
          • Base graphics, ggplot (Programming Languages Book)
      • Gathering Data
        • Web Scraping
          • Scraping With Python
        • Free Data Sets/Sources
    • Data Engineering
      • Databases
        • SQL
          • SQLite
      • Containerization and Kubernetes
        • Containers
        • Using Data Mine Containers
          • Container Tag Library
        • Kubernetes
        • Deploy Your First Application
        • PySpark
      • SLURM (Simple Linux Utility for Resource Management)
        • SLURM Jobs on Anvil
      • FastAPI Example
    • Programming Languages for Data Professionals
      • Python
        • Introduction (Programming Languages Book)
      • R
        • Introduction (Programming Languages Book)
      • SQL
        • Introduction (Programming Languages Book)
      • Perl (good general purpose language to know)
        • Perl (Programming Languages Book)
    • Tools, Standards & More
      • Jupyter
      • Data Ethics
      • The Bookshelf
      • Visual Studio Code (VS Code)
      • Data Formats
        • HTML
        • JSON
        • XML
      • Matlab
        • Training
      • git
        • Github Desktop
        • Workflows
        • Setup git on Anvil
        • git CLI on Anvil
        • git Terminology
      • Unix
        • Shells
        • Files
        • Jupyter Lab Kernels
        • Unix Kernels
        • awk Overview
        • bash Overview
        • Regular Expressions
        • Standard Utilities
          • man
          • pwd
          • ls
          • cd
          • type
          • which
          • touch
          • cp
          • mv
          • mkdir
          • rm
          • rmdir
          • head
          • less
          • tail
          • cat
          • diff
          • df
          • du
          • stat
          • wc
          • find
          • cut
          • sort
          • uniq
          • tr
          • sed
          • grep
          • awk
          • chmod
          • chown
          • rsync
          • ssh
          • scp
        • Text Editors
          • vim
          • emacs
          • nano
          • Sublime Text
          • VSCode
        • Other Topics
          • ~ & . & ..
          • Piping
          • Redirection
          • Environment Variables
          • Scripts
          • Permissions
          • Cron
          • systemd
          • Setting Up VMs
      • Windows Environments
        • Connecting to a Windows Server
    • Anvil
      • Anvil Setup Roadmap
      • What is RCAC?
      • Anvil Resource Guide
      • User Account (ACCESS) Setup
        • Purdue User Setup
        • General User Setup
        • Other User Setup
        • ACCESS Email Update
        • Helpful ACCESS Links
      • Setup git on Anvil
      • Push Code to Github From Anvil
      • Uploading Data
      • Getting Started with Anvil
      • Setting up a Windows VM on Anvil
      • Using GPU’s on Anvil
  • Corporate Partners
    • stable
  • National Data Mine Network
    • stable
  • Personal
    • stable
  • Programming Languages
    • stable
  • Projects
    • stable
  • Registration
    • stable
  • Seminar TA
    • stable
  • Starter Guides
    • stable
  • Template Module
    • stable
  • The Data Mine Workshops
    • stable
  • The Examples Book
    • stable
  • University Partners
    • stable
Starter Guides stable
  • Starter Guides
  • Data Science
  • Data Modeling Process
  • Modeling Process
  • Step By Step Process
  • Model Deployment
Edit this Page

Model Deployment

This page is under construction.
Measuring Model Fit Introduction

Purdue University, The Data Mine, Hillenbrand Hall, 1301 Third Street, West Lafayette, IN 47906-4206, (765) 494-0325

© 2024 Purdue University | An equal access/equal opportunity university | Integrity Statement | Copyright Complaints | Maintained by The Data Mine

Contact The Data Mine at datamine@purdue.edu for accessibility issues with this page | Accessibility Resources