Learning Puree is about providing you tips and tutorials to grow faster in your Professional and Personal life.
Learning Puree focuses on applied learning.
'Applied learning' transforms 'Knowledge' and 'Ability' into 'Skills'.
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sir I love the way you teach. Even I thought after watching your video I don't in need of any resource for the topic. I m your subscriber for almost 3 years. I really find new things in every video you upload. I think you should continuously upload videos. it could help algorithm to f serve your targeted audience .
Hello Mukul, thanks for the kind words. I am happy the content is useful to you. I try uploading as much possible in the time available. Since there are other channel-based and training activities that engage my time it is some time a challenge to release on schedule. The content gets created early on. However, I handle the entire production as well. But, yes the attempt and goal is to be as much regular as possible. More videos are on the anvil.
It spawns from the basic working equation of Kurtosis for normal distribution. The value of 3 is actually the value of Kurtosis for normal distribution. We, often erroneously, use the value of Kurtosis for normal distribution as '0'. However, it is the excess kurtosis. There is an extensive mathematical derivation that follows to explain the above.
Sir,can you do a vedio on how to find measure of central tendancy,dispersion,skewness and kurtosis of diffrent types of data using excel for beginners.
You are a real master on RU-vid and deserve millions of flowers, if some knows where to apply statistics in the real world. But I would request to explain it in hindi as well please
Identifying Mode of data, understanding distribution of the data using histogram or for understanding preferences (product, taste, flavour etc.). Additionally, please lookup the video tutorials on probability distribution.
It is not a case of cost of computing power. It is whether one wants to invest extra time in computation. Instead, using visualization and SD can provide an enriched outcome. For kurtosis, it depends from case-to-case.
You are perhaps the only person on youtube who has explained regression in a simple and precise manner. I am glad to have found your channel. Waiting for part 2.
Second moment is 110 and 100 for the data sets.. given..i really don't understand..how . Moments is when you actually divide that by 4 .. but ut just the added squares..
It is the squared distance when considered from origin as '0' (zero). Since the denominator is the same, it does not matter for the comparison. This was done only to simply and exemplify the point on shift of origin. The figures are correct. In fact when you move ahead in the tutorial you will notice the 2nd moment was also calculated using shift of origin to get 2.5 and 0 (zero) respectively for both cases. Hope this clarifies!
Hey Sir! You are an absolute pro when it comes to teaching data science and statistics. Just came to know about your offline classes from a friend. Enrolling soon :)