That is fantastic to hear! When I decided to finally cover everything needed for data science and ML I figured I'd lose 10 to 20,000 subscribers and nobody would watch the videos. I never considered that it would make my 3,000 great fans very happy, which is good enough for me :)
Error at @6:52? As N increases, the denominator increases, but so does the number of samples in the summation. Bigger N would be more accurate stdev, not smaller stdev?
@@derekbanas No worries, thanks for this great series. I've seen some creators overlay *text on the video to make corrections. Not sure if that's built into the UA-cam UI or if you have to re-render and re-upload.
@@derekbanas It reflects. Being an aspiring student for CS, your languages in one video have been a gem for me. I can't thank you enough. Keep up with the work man you're the best🔥
Thank you very much :) No you don't even need to watch the probability tutorial to watch this, but since probability and statistics are normally taught together to get complete knowledge it is best to watch both.
Hi Derek, good content, but unfortunately there are 2 errors: 1. The Rocket's salary does not follow normal distribution. Instead, income typically follow Pareto distribution, so no confidence interval interpretation. 2. CI score calculation is incorrect. x = mean + z * sd (not sd / sd**0.5)
So when you pass a list of args in, why to you pass it with an asterisk sometimes but not all the time. Should the results be different? I will try when I get back to a computer. Thx e.g. def add(*args): Return sum2 = sum(*args) //without def add(*args): Return sum2 = sum(args)
Thank you :) You basically look for relationships between stock fundamentals, things like stock price, earnings, etc and other factors such as other stock prices, economic indicators, fluctuations in other market values. Then you use things like regression analysis and correlation coefficient to make predictions. I covered both in my statistics learn in 1 video and will cover them in this tutorial next week.
I'm falling in love with this series. I have learnt a lot more than what I learnt in school time. Thanks Derek
That is fantastic to hear! When I decided to finally cover everything needed for data science and ML I figured I'd lose 10 to 20,000 subscribers and nobody would watch the videos. I never considered that it would make my 3,000 great fans very happy, which is good enough for me :)
Awesome. Thanks for making these videos and providing the code along with other examples. Very helpful.
I'm very happy that people are enjoying them and finding them useful. The next video goes up tomorrow at 1PM
You're my Hero!! SMASHING the LIKE Button!!!!
OMG sir Derek, this consecutive upload is soooo awesome! 😁
I'm happy you like them! I'll keep going everyday as long as I can
Error at @6:52? As N increases, the denominator increases, but so does the number of samples in the summation. Bigger N would be more accurate stdev, not smaller stdev?
Sorry if I made an error. I'll check and make a correction in the code.
Oh I realized it was a misspeak. Sorry about that. I wish UA-cam had a way to fix parts of videos.
@@derekbanas No worries, thanks for this great series. I've seen some creators overlay *text on the video to make corrections. Not sure if that's built into the UA-cam UI or if you have to re-render and re-upload.
Your content is great. Thanks for putting so much effort in making videos interesting. Thanks.
Thank you very much :) I do my best to teach in new ways
Welcome Derek, thanks.
Thank you :)
You are the Top, Derek!
Thank you for the nice compliment :)
@@derekbanas Hi plz upload one video on ethical hacking
You don't know how great your content is despite being so diverse!
Thank you for the nice compliment :) I just try to do my best and have fun
@@derekbanas It reflects. Being an aspiring student for CS, your languages in one video have been a gem for me. I can't thank you enough. Keep up with the work man you're the best🔥
Thanks for the great content Derek!
Are there any pre-requisites to go through your videos from Probability video to this video ?
Thank you very much :) No you don't even need to watch the probability tutorial to watch this, but since probability and statistics are normally taught together to get complete knowledge it is best to watch both.
Hi Derek, good content, but unfortunately there are 2 errors:
1. The Rocket's salary does not follow normal distribution. Instead, income typically follow Pareto distribution, so no confidence interval interpretation.
2. CI score calculation is incorrect. x = mean + z * sd (not sd / sd**0.5)
So when you pass a list of args in, why to you pass it with an asterisk sometimes but not all the time. Should the results be different? I will try when I get back to a computer. Thx
e.g.
def add(*args):
Return sum2 = sum(*args)
//without
def add(*args):
Return sum2 = sum(args)
The asterisk means that you can pass any number of arguments in. The results should be the same. Look up "*args, **kwargs"
@@karenhausman9824 I understand it means 1 to N. I am saying he doesn't always use the asterisk. I have already tested it, but thx
Thanks Derek
Thank you for watching my videos :)
hi derek, pls make a tutorial on xamarin forms.
Hi, I'll see what I can do. Thank you for the request
Dear mr. Banes why You get rid off f when you format numbers. It's so much easier to write f"{variable:.3f}"
And fantastic tutorial as always
Thank you :) I switch between using f formatting and regular formatting randomly as I live code. Sorry if that was distracting
Hellow you well done Brother ,Do you know how does it works in stock market if you know please replay Thanks
Thank you :) You basically look for relationships between stock fundamentals, things like stock price, earnings, etc and other factors such as other stock prices, economic indicators, fluctuations in other market values. Then you use things like regression analysis and correlation coefficient to make predictions. I covered both in my statistics learn in 1 video and will cover them in this tutorial next week.
Can we transfer this kind of code to software that can monitor the balance sheet of the each government employees to tackle corruption. Plz reply
You can use statistics to make predictions about just about anything :)
Hi
Hi :)