I would describe that as a positively skewed normal distribution, not an exponential distribution. Also, it's the 68-95-99.7 rule

Such a simple and straight forward refresher. I'm grateful for your work

Nice for having a brush up! Thank you!

in #2 at 4.30 mins how he told that mean,median and mode value can anyone explain please

Thanks for the video! I The correlation formula is wrong though, the covariance is the numerator divided by n.

Hypothesis testing and P value nicely explained, thank you!

11:16. I think you have a typo: The Normal distribution should be 68-95-99.7%, not 65-95-99.7%

could you give me ideas for data science projects that deliver value to businesses

Thanks for such a great content and your effort. Would you mind explaining further why you think that mode = median? Since this graph seems like a positively skewed graph, I though mode is around 3, median 4 or 5 and mean between 6 and 10.

For the normal distribution, is it 66-95-99.7 rule or 68-95-99.7?

I am binge-watching your channel ! 😎 In the correlation section - why not just straight up remove the outliers? 🤔

6:43 should the numerator be cov(X,Y)? Seems there is a 1/(N-1) term missing.

I definitely appreciate the explanation then the applied DS examples right after. Thank you!

If you're using a real world example, you shouldn't "ASSUME" the SD to be something. Can you find out how it's determined in real world?

Could you mention tools used to design and present your slides thanks!!!

2pm - poisson distribution

These are crucial concepts. Thanks

Also where is the link for Meta Statistical Interview questions video please?

Can you help me understand on what basis have you assumed population standard deviation to be 20?

could you also use Spearman Correlation if you have outliers in your data?

Great content. Is non-normal distributions listed separately to put emphasis on it? I believe it will be included within the concept of the overall distributions

1:08 8 hours a day in Facebook????? What is the X at the bottom?

You failed to mention bayes theorem and binomial distribution which is used here just as heavily as normal distribution particularly when quantifying the probability distribution of the accuracy of unsupervised learning models. This video is not comprehensive at all