Priyanka's Post

Sabermetrics seeks to answer 2 basic questions: 1.Can the player hit? 2.Can the player create runs? If the answer to these questions is “yes,” you’ve got a good pick. At least that’s what Oakland A’s general manager Billy Beane believed in 2002 when he used moneyball theory to pick a team of undervalued players. . Analyzing data was nothing new to baseball in 2002. Data on baseball players is available since the 1800s and data analytics used since the ’70s. The reason Moneyball’ succeeded not because of data analytics but because of Beane, the leader who understood the analytics’. . His story should resonate with data scientists. P.S : You can watch this movie on Netflix this weekend. More videos by MIT in bio 😎 #moneyball #datascience #analytics #learnwithfun #friyay #sportsanalytics #sabermetrics #pythonista #dataanalytics #machinelearning #learndatascience #sabermetricstatsoftheday #datascienceeducation #datascienceandanalytics #datasciencejobs #netflix #movie #moneyballmovie #netflixmovie

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• #dataanalytics

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This post was published on 07th August, 2020 by Priyanka on her Instagram handle "@ml.india (Data Science & ML Mentors)". Priyanka has total 2.7K followers on Instagram and has a total of 65 post.This post has received 13 Likes which are lower than the average likes that Priyanka gets. Priyanka receives an average engagement rate of 0.92% per post on Instagram. This post has received 1 comments which are than the average comments that Priyanka gets. Overall the engagement rate for this post was lower than the average for the profile. #moneyball #learnwithfun #machinelearning #datascience #analytics #sportsanalytics #pythonista #sabermetrics #friyay #dataanalytics has been used frequently in this Post.