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Kurs Chess Games Analytics - Online-opplæring med sertifikat
python

Chess Games Analytics

Arsenii Drobotenko

Python

9 Chapters

0 Studying now

Analyze a large chess games dataset using advanced pandas and visualization techniques. Extract actionable insights about player performance, time controls, opening theory, and upsets—all without defining custom functions or reloading data. This case study emphasizes vectorized operations, categorical engineering, and professional data storytelling.

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Kursbeskrivelse

Analyze a large chess games dataset using advanced pandas and visualization techniques. Extract actionable insights about player performance, time controls, opening theory, and upsets—all without defining custom functions or reloading data. This case study emphasizes vectorized operations, categorical engineering, and professional data storytelling.

Teknologi

Python

Språk

En

Vurdering

Kapitler

9

Introduction & Data Loading

Moves, Ratings, and Time

Win Rates and Elo Tiers

Time Control and Victory Status

Opening Moves and Win Rates

Opening Ply Analysis

Upsets and Underdog Victories

Victory Status and Game Length

Grandmaster Dashboard

0%

Introduction & Data Loading

Moves, Ratings, and Time

Win Rates and Elo Tiers

Time Control and Victory Status

Opening Moves and Win Rates

Opening Ply Analysis

Upsets and Underdog Victories

Victory Status and Game Length

Grandmaster Dashboard

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