THANKS🥰

me ayudó un montón, gracias, (se te quiere)

Good job mam

Helpful video ❤

Thank you

Thank you

You are amazing Thank you Professor, I wonder why you don't have a million subscribers.

Awesome 🙏🙏🙏

Good explanation, keep it up

The video is very helpful, keep it up.

Great video , I am happy with the explanation, keep it up.

Thanks i like your detailed matlab series, I found it very helpful as a beginner to matlab.. Thanks for this !!

How can I inverse 3D matrix?

Hi By this way I think you miss to steps. I mean after 32 steps she has : 78.40 - (32*7.29) + (32*5) = 5.12 Ok right now she has not enough money to buy another one, but at the beginning the week she will have 10.12 and it is more tahn 7.29! So I think the final answer is 34 week. After that she will have 0.54 $. 78.40 - (32*7.29) + (34*5) = 0.54 $. This happens because: Receiving money in your pocket and paying for buying a magazine do not have time priority.

very helpful video, would better with zero background noise of windy season

Very informative

video isn't easy to understand

Thank you for the lessons 🙏. Much appreciated. I am still trying to figure this out for my phd program 😅. I am stuck with Advanced Statistics.

great video thank you!

Hello Professor. I am a Mater's student and not having clear background of MATLAB so are these lectures complete to get a basic command over MATLAB as I am going to invest my time in it for a complete day or two .

Hi , can you help me please?, can you make thefile.m of the whale optimization algorithm please?

First of all thanks for the great content - the explanations and examples are very good. I have a methodological question about the varience comparison example. Why H0 hypothesis is that the variences are equals? As explained in previous lectures H0 should be "not wanted" hypothesis. In this case, you couldn't reject H0, but it should NOT be a reason to accept it as seems to follow from from the last part of the video. Actually H0 hypothesis should be that the variances are NOT equal., and according to your computation the resulting p-value of this hypothesis will be above 0.2, so the hypothesis that variances are NOT equal can't be reject. Am I missing something?

「もっと多くの人が必要なので、このビデオをもっと

Thanks a lot white women :)

How to open this in system please tell me anyone I don't no how to open

Thank you for the video, I tried to understand the concept of nested functions using MATLAB library, and your explanations is clearer.

The y-axis label in the bar graph says "heart rate reduction %", so if I'm not mistaken, the confidence intervals actually suggest that the new drug is more effective.

Great video, thank you so much!

Thank you so much, excellent example.

Thank you so much for this video, great explanation.

what means colheaders here

Thank you very much this video was perfect for the assignment I had in my BME class.

Many thanks!

nice

Very well explained, Thanks a lot.

can mod(x, y) == 0 be used here as well?

Is there an example on how to make this in a loop? I'm currently struggling with it. I dont understand how to tell matlab to create a 4x4 matrix of k dimensions. When I read it out only the first dimension works.

Thanks for video, Can ı ask you one question , How do I perform prelocation when creating an array using a for loop? for example Vcruise=[]; HPreq=[]; speedvalue=160 (maybe much more big values for other operations) ; for i=1:1:speedvalue Vcruise=[Vcruise,i]; ........ Ptotal_fwd=.... ...... HPreq=[HPreq,PTotal_fwd]; end and some graphical operations

I have data of grades like 78 student got A+ 67 got A and so on. How can I plot histogram from that information. Plz help me

Thanks Dr, the help was much appreciated.

Any email I could reach out to you?

Thank you professor for a wonderful explanation

How do you associate the correct legend title with the right set of data?

Great video. Thank you

Thank you very much for this, it just came in handy, very concise!

Thank you so much, this was very helpful!

very very useful

Thanks. It was really helpful.

the way you teach is outstanding mam