Course Outline

Introduction

  • Overview of Kaggle for government use
  • Kaggle categories and performance tiers for government applications

Kaggle Competitions

  • Overview of Kaggle competitions for government agencies
  • Competition formats available for government projects
  • Steps to join a Kaggle competition for government purposes
  • Forming teams for government-led initiatives

Kaggle Datasets

  • Types of datasets available on Kaggle for government use
  • Searching and creating datasets tailored for government needs
  • Organizing and collaborating on datasets within a government context

Kaggle Kernels

  • Types of kernels available on Kaggle for government projects
  • Searching for relevant kernels for government tasks
  • Using the kernel editor and accessing data sources for government analysis
  • Collaborating on kernels to support government initiatives

Kaggle Public API

  • Installing and authenticating the Kaggle API for government use
  • Utilizing the Kaggle API with competitions for government projects
  • Using the Kaggle API to access and manage datasets for government purposes
  • Creating and maintaining datasets through the Kaggle API for government applications
  • Pushing and pulling kernels using the Kaggle API for government workflows
  • Checking the status and output of a kernel for government tasks
  • Creating and running new kernels to support government initiatives
  • Kaggle configurations tailored for government operations

Summary and Next Steps

Requirements

  • Python programming skills
  • Knowledge of machine learning
  • Understanding of statistics

Audience

  • Data scientists for government
  • Developers for government
  • Any individuals interested in advancing their data science capabilities using Kaggle for government applications
 14 Hours

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