Python for Data Analysis: Probability Distributions


By DataDaft on youtube.com

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This video covers the basics of working with probability distributions in Python, including the uniform, normal, binomial, geometric, exponential and Poisson distributions. It also includes a discussion of random number generation and setting the random seed. Subscribe: ► https://www.youtube.com/c/DataDaft?sub_confirmation=1 This is lesson 22 of a 30-part introduction to the Python programming language for data analysis and predictive modeling. Link to the code notebook below: Python for Data Analysis: Probability Distributions https://www.kaggle.com/hamelg/python-for-data-22-Probability-Distributions This guide does not assume any prior exposure to Python, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn Python. I will create the videos for this guide such that you should be able to learn a lot just watching on YouTube, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can copy and edit each lesson so that you can follow along and run code yourself. Introduction to Python Playlist: https://www.youtube.com/playlist?list=PLiC1doDIe9rCYWmH9wIEYEXXaJ4KAi3jc Link to the Python for Data Analysis written guide index page: https://www.kaggle.com/hamelg/python-for-data-analysis-index . ⭐ Kite is a free AI-powered coding assistant that integrates with popular editors and IDEs to give you smart code completions and docs while you’re typing. It is a cool application of machine learning that can also help you code faster! Check it out here: https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=datadaft&utm_content=description-only


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