A Python Approach to Solving Probability Interview Question for Data Science скачать в хорошем качестве

A Python Approach to Solving Probability Interview Question for Data Science

This video will walk you through Goldman Sachs's probability interview question "21 Unbiased Coins". We'll go step-by-step through the process of the binomial probability calculation in Python, and also discuss why the final probability calculation may result in slightly different values due to floating point precision errors. Go to the question through the link below and follow along with me👇 https://platform.stratascratch.com/te... ______________________________________________________________________ 👉 Subscribe to my channel: https://bit.ly/2GsFxmA 👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81 👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ 👉 Playlist for data science projects: https://bit.ly/StrataScratchProjectsY... 👉 Practice more real data science interview questions: https://platform.stratascratch.com/co... ______________________________________________________________________ Timeline: Intro: (0:00​​​) Interview Question: (0:26​​) Formulas to use: (1:26) Probability Calculation Using the Math Library: (3:44) Probability Calculation Using Math Module: (5:47) Take Away: (7:31​​) ______________________________________________________________________ About The Platform: I'm using StrataScratch (https://platform.stratascratch.com/co..., a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases. So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/co.... All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans. ______________________________________________________________________ Contact: If you have any questions, comments, or feedback, please leave them here! Feel free to also email me at nathan@stratascratch.com ______________________________________________________________________ #probability #probabilityandstatistics #python