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所在平台: Udemy |
课程主页: https://www.udemy.com/course/wrangling-mlb-pitchfx-data-with-python/
课程评论：没有评论
本课程将介绍如何使用Python处理美国职业棒球大联盟（MLB）的pitchF/x数据，这是一种用于追踪棒球投球运动的先进技术。课程将以克莱顿·克肖（Clayton Kershaw）2014年无安打比赛的数据为例，带领学习者使用Jupyter Notebook和Python内置库，对收集到的数据进行清洗、分析和可视化。 课程内容涵盖： * **Sabermetrics入门**: SaberMetrics是基于数据的棒球统计分析，本课程将以此为切入点，揭示现代棒球数据分析的核心。 * **PitchF/x数据处理**: 学习如何获取、解析（XML）并处理MLB官方发布的pitchF/x数据，了解从早期的PitchF/x系统到如今的StatCast和TrackMan等技术演变。 * **Python编程实操**: 运用Python及其常用库，如MatPlotLib和PyPlot，对投球数据进行可视化，例如绘制投球轨迹图。 * **Jupyter Notebook和Python最佳实践**: 在课程中，还将探讨Jupyter Notebook的使用技巧和Python编码的最佳实践。 无论您是编程爱好者、棒球统计分析师，还是对“金钱球”（Moneyball）和新一代棒球运动员发展背后的数据驱动方法感兴趣的棒球迷，本课程都将为您打开一扇了解棒球领域前沿数据分析的窗口。
In the 2006 playoffs, Major League Baseball debuted a pitch tracking camera system called PitchF/x. Now installed in every MLB stadium, the system has been continually extended and re-branded. From cameras to TrackMan radar, from StatCast, to GameDay - MLB now tracks every pitch and every player's movement on each pitch. The data are made public on the MLB web site and SaberMetricians world-wide pour over every detail. The teams themselves, average five or more statisticians dedicated to analyzing the data to aid in selecting and improving players.I'm Chaz Henry - a software engineer, 12 year little league coach and founder of the PowerChalk dot com website. In this class, we're going to open a fresh Jupyter Notebook, grab the MLB game data from Clayton Kershaw's 2014 no-hitter and wrangle that data in Python. It's an introduction in SaberMetrics - the empirical study of baseball statistics.We'll use built-in Python libraries and graph the pitches with MatPlotLib and PyPlot. Along the way we'll talk about best practices for Jupyter Notebook, Python coding, XML parsing and maybe a little baseball.So, if you're a coder, a SaberMetrician or a just a baseball fan who wants to peek behind the curtain at what's driving MoneyBall and the next wave of player development, sign up for the course and let's start scrubbing the pitch data from one of the greatest pitching performances in MLB history.
