https://github.com/katrinafermanto23/this-is-jeopardy

https://github.com/katrinafermanto23/this-is-jeopardy

jupyter-notebook python

Last synced: 12 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/katrinafermanto23/this-is-jeopardy
• Owner: Katrinafermanto23
• Created: 2025-01-14T09:06:02.000Z (29 days ago)
• Default Branch: main
• Last Pushed: 2025-01-23T06:17:54.000Z (20 days ago)
• Last Synced: 2025-01-23T07:24:04.359Z (20 days ago)
• Topics: jupyter-notebook, python
• Language: Python
• Homepage:
• Size: 500 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# This-Is-Jeopardy

Jeopardy! Data Analysis

This project explores a dataset of Jeopardy! questions and answers, allowing for in-depth analysis and insights.

**Project Goals:**

- Data Exploration: Write functions to investigate the dataset, including: Filtering questions based on specific topics or keywords and xalculating the average difficulty of questions within a given category.

- Data Analysis: Gain valuable insights from the data, such as: Identifying common themes and topics, analyzing the distribution of question difficulties, discovering patterns or trends in the data.

- "Jeopardy!" Champion Training: Utilize the analyzed data to improve Jeopardy! playing skills, potentially through: Creating personalized study guides, identifying areas of weakness and focusing on improvement and developing strategies for answering questions effectively.

**Key Features:**

- Data Filtering and Manipulation: Functions for efficient data filtering and transformation.

- Data Analysis and Visualization: Techniques for exploring and visualizing key findings.

- Interactive Exploration: (Optional) User interface for interactive data exploration and analysis.

**Getting Started:**

- Obtain and Prepare Data: Acquire the Jeopardy! dataset and preprocess it for analysis (if necessary).

- Implement Core Functions: Write functions for data filtering, difficulty calculation, and other key analyses.

- Conduct Analysis: Analyze the data, identify patterns, and generate insights.