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@lazarusrevolution2 жыл бұрын
can you please make tutorial a bout scapy in python
@ballingchampagne Жыл бұрын
You shouldn't have substituted the std error value of 0.262 for the coefficient of x1, but rather the eval coefficient of 0.2687 because that is what our independent variable is. Let me know if there is something wrong with what I have said.
@caseytilton2957 Жыл бұрын
I'm also interested in a reply to this. I immediately caught this too but I want to make sure I'm not misinterpreting something.
@bobjohnson14072 жыл бұрын
this is gold, i dont think anyone makes as simple tutorials as you
@taqi56752 жыл бұрын
Thanks Derek , but I really wait for calculus and linear algebra in one video
@derekbanas2 жыл бұрын
I'll see what I can do. Linear algebra is very doable. Calculus would be a very long video
@wjrasmussen6662 жыл бұрын
Derek, the vast amount of knowledge you have is impressive!
@derekbanas2 жыл бұрын
Thank you :) It is just what I do for a living. Anyone could learn this stuff if I did
@kajros8 ай бұрын
It was very helpful to watch, just one comment: Usually y is the dependent variable, so your variable names in the beginning are the wrong way around. In this case it does not matter because it was only one independent variable, but technically speaking you tried to estimate the effect of evaluation results on beauty there The same later on (total_bill got explained by tip), which is why I imagine it didnt work with binary variables.
@ezrarod2 жыл бұрын
Dear Derek, thanks so much for this video.
@derekbanas2 жыл бұрын
I'm happy you liked it :) I'll do my best to start covering machine learning with TensorFlow next week
@jameelabduljalil25 Жыл бұрын
Thank you Derek! You're awesome !! Is there any non-linear regression tutorial?
@munyingipatrick55502 жыл бұрын
can you use this for multivariate linear regression?
@mrrishiraj882 жыл бұрын
Greetings, Derek Banas
@derekbanas2 жыл бұрын
Thank you for checking out my video :)
@yuanshengshe-rj3vc Жыл бұрын
can someone tell me why I am adding a column of 1 to X?
@cvino061810 ай бұрын
easy to follow along and good content as well
@ArwaAlnajashi Жыл бұрын
Inventory analysis please
@JamalRomero2 жыл бұрын
Thanks for this intro to linear regression. I think "sex" and "smoker" didn't work because of their "categorical" nature as opposed to other "numerical" predictors.
@derekbanas2 жыл бұрын
Yes that is most definitely true. I could have gotten them to work, but I thought it didn't matter that much
@swiadomy12 жыл бұрын
@@derekbanas from real life examples - it does not matter what model are you choosing if you are an expert you can combine enough compexity and at least moderate results. Or if you are black boxing you do not care what model is. There is no such rule that catrgorical variables will not be predictive. In general education, wealth, family status, age, gender, Credit score, location are preferable
@Apfelloch2 жыл бұрын
Sooo... "Expressions" or "Regressions" now?
@derekbanas2 жыл бұрын
Regressions, sorry if I said expressions at some point?
@Apfelloch2 жыл бұрын
@@derekbanas Psshht, the title of the video says "Expressions" 🤫
@derekbanas2 жыл бұрын
That's funny :D I'll fix it
@yeasp2 жыл бұрын
Exclusiveshiv is me
@derekbanas2 жыл бұрын
Thank you so much for stopping by my livestream :) Normally I don't have technical difficulties. I greatly appreciate it!