Statistics Using Python Tutorial Part 7 | Types of Distribution | Data Science Tutorial #7

Statistics Using Python Tutorial Part 7 | Types of Distribution | Data Science Tutorial #7
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Hello and welcome back to another session of statistics tutorial using Python Powered by Acadgild. In the previous video, you have learned the concepts of Seaborn python tutorial. If you have missed the previous, please check the links as follows.
Central Tendency, Sample, and Population - https://www.youtube.com/watch?v=TYlWj4JuA7w&t=11s
Measures of Spread - https://www.youtube.com/watch?v=PqXxjqMV0WY&t=31s
Descriptive and Inferential Statistics - https://www.youtube.com/watch?v=qGCCBvtYBM0&t=1s
Types of Data in Statistics - https://www.youtube.com/watch?v=6ZA5lvooc5I&t=9s
Data Visualization Using Matplotlib - https://www.youtube.com/watch?v=CISnF83dGTc&t=3s
Seaborn Python Tutorial - https://www.youtube.com/watch?v=9HMt9O3M03Q&t=16s
In this video, you will be able to learn the types of distribution in statistics. There are multiple statistical distributions, but in this tutorial, you will be able to learn some of the common distributions.
• Bernoulli’s Distribution: Bernoulli is a discrete probability distribution of random variable which takes the value ‘1’ with the probability ‘P’ and the value ‘0’ with the probability of ‘Q’.
Kindly, go through the complete video to learn the implementation part in the jupyter notebook. Please like, share and subscribe the channel for more tutorials.
#bernoulli, #Statistics, #distribution, #datascience
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