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Winning Jeopardy

For this project, you’ll take on the role of a Jeopardy contestant looking for any edge to win. You’ll work with a dataset of 20,000 Jeopardy questions using Python and pandas to analyze question and answer text and uncover helpful patterns.

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4.8 (359 reviews)
366,013 learners enrolled in this project
  • Beginner
  • Jupyter project
  • 8 steps
  • Python
Alla Bannikova

“Each step prepares you for the next one. The projects helped me to gain confidence and the community is very beneficial.”

Alla Bannikova

Data Analyst

Winning Jeopardy

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Project overview

In this project, you’ll imagine you’re a Jeopardy contestant looking for any way to win. You’ll analyze a dataset of 20,000 Jeopardy questions using Python and pandas to uncover patterns that could give you an edge.

This project will strengthen your skills in data analysis and manipulation using Python. You’ll practice text normalization, filtering, and aggregation while working with string, numeric, and datetime data. Through techniques like a chi-squared test, you’ll identify terms associated with high-value questions.

Objective: Apply data analysis and statistical techniques in Python to real-world Jeopardy data to develop a winning game strategy.

Key skill required

To complete this project, it's recommended to build these foundational skills in Python

  • Understanding hypothesis testing and statistical significance
  • Applying chi-squared tests to categorical data
  • Extending chi-squared tests to multiple categories
  • Calculating statistical significance of chi-squared results

Projects steps

Step 1: Jeopardy Questions

Step 2: Normalizing Text

Step 3: Normalizing Columns

Step 4: Answers in Questions

Step 5: Recycled Questions

Step 6: Low Value vs High Value Questions

Step 7: Applying the Chi-squared Test

Step 8: Next Steps

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