An someone who is self-taught for the purpose of using data science to better understand sports, I found this video extremely useful. Now on to watch all of your videos!
I am so glad it was useful! I try to make videos I wished somebody have done before me as I was learning Data Science myself :) I hope you like some other videos too! Feel free to give any feedback (what is good, what is bad), since I am a beginner in creating videos and still learning. Cheers!
@@yuzaR-Data-Science Sure. I think your videos are really clearly explained with great visuals and you use good examples. Another great aspect is that you have introduced me to a bunch of amazing packages that I didn't know about. If I could make a request for a video it would be for a full analysis of a data set (it doesn't have to be too complex) and model creation from start to finish (personally I use a lot of multiple linear regression). I have seen others go through the process of creating and tuning models using data from Kaggle competitions, which taught me a lot. Thanks again.
@vagabond197979 Hey, thanks again for your nice feedback! Yes, I would love to do the analysis of datasets! I just wanna cover the stat and ML topics first. For instance, now I am on the confusion matrix series, next - agreement series, then mixed-models ... you get the idea. So, I might need to insert analyzing datasets in between. What are your absolute top 3 videos (or top 3 youtube channels) for analyzing datasets from which you have learned the most and watching which you enjoyed the most? I would look them up and decide whether my idea of how to work-out the dataset is any good.
@@yuzaR-Data-Science I'm very curious about mixed models as I currently am totally unfamiliar with them. I'm also interested in topics such as ensembling and feature engineering. I think the best part about your videos is that they cover practical stuff that you actually use in real life, not just the basic "this is the syntax for simple linear regression in R." As far as my favorite videos, I looked through the list that I've saved and apparently I forgot to bookmark those that analyze the dataset. I remember watching a really good one where the guy started from scratch on the Titanic Kaggle dataset and finished by using ensembling to come up with the best predictions for survival (I saw you did a video using this dataset as well). Maybe I will come across them and I will be sure to send to you. All the best and please keep the videos coming!
thanks mate! analysing dataset is another idea I would love to do, but I first want to cover more topics, like you asked - mixed models and more. but please, send me the video of the other guy, if you stumble again on it. I would very much appreciate that!
1:12 It gets worse. In the context of ANOVA you have 'factors' for categorical independent variables and 'covariate' for numerical ones. 😢 1:50 yeah, performance::check_model() is the bomb.
yeah, factor is another useless name. drives me nuts. especially, when ML folks come and name old good known things in a new fancy manner :), just complicating things for everyone while feeling great. check_model rocks 🤘
Great and to the point. Thanks! I'd like to see you explain some topics like propensity score matching, multiple imputation, and principal component analysis. I guess that would be fantastic if you present them in a such elegant way.
Thanks, Ahmed! I already have an older video on Imputation, but it still works, I use {missRanger} package for imputation to this day. Feel free to check it out! Thanks for the suggestions, I'll put the on the list! I plan to cover basic most common models first though, like logistic regression, before coming to PCA. So, please, stay tuned. Cheers!
Great suggestion! :) And I actually tried to do that for linear model twice, but broke up due to a unnecessary complexity of tidymodels for simple models, like LM of GLM. Paradoxically, the functions I use here are much more insightful :). But I still have it in the back of my mind to dive deeper into tidymodels. I just created one video on resampling in tidymodels, and it did not perform better as good as one might think in the age of machine learning. The emmeans video is better, may be because it's more useful and pragmatic. Anyway, thanks for watching and for your nice feedback!
I'm not surprised by your observation. Why would anyone do machine learning using the complicated recipes in TidyModels when SciKitLearn in Python is much tidier and straightforward?
Wow, thanks for such a generous feedback! 🙏 Love it! Multivariate? Eventually, but I never understood what's the difference between multivariate models with 3 different outcomes and 3 separate models of the same outcomes? Is there any connection between outcomes, are they somehow weighted or so? Because if not, I already created a video which is much better than that "Many Models At Once". If yes, please, let me know, and, if you can, recommend some good literature. Cheers!
@yuzaR-Data-Science my understanding is that if the outcomes are correlated but still different, then, not accounting for this could bias the estimate, and on the other hand, accounting for it could reduce the standard error, providing more precision (and statistical power). For example, if you want to study the effect of a medicine on some sort of mental health phenomenon, you could ask for patients to self-report their state, but in the same study, you could also ask their doctors to give their ratings, and on top of that you could maybe use their smartwatch to collect some behavioral data. All three are indicators of the same thing but also a bit different.
that's interesting, I work in vet-med area, and we rarely do multivariate models, but I would have a look at them, and in the end, if I'll find them useful, I'll definitely make a video on them. For now I am concerned about the assumptions. what if assumption for one response hold, but the assumptions for the other not? What model do you use then? Quantile regression? Is there something line a non-parametric MANOVA in R anyway? soooo, many questions :)
Wow, thanks for such a generous feedback! If you know some folks who also would benefit from it, feel free to share it! I wish I had something like this video as I started to learn R. I hope the other videos are helpful too! Thanks again! Cheers!
Hi, thanks again for this great video. I really enjoy your explanations, but your blog was much more useful for quick access to concentrated information. Videos are very helpful to understand from scratch, but seeing important screenshots in your blog quickly during a time-sensitive project is very important. Plus, Koji is also down.
Thanks a lot for your nice feedback! Unfortunately, my blog was shut down, since Netlify wanted me to start paying for increasing traffic. Since R is open source and I do not earn anything from my blog, I refuse to pay for trying to do something useful for the world. I know the blog is useful, thus I am working on a solution to find the alternative for Netlify. But since I am not the IT guy, it might take time. If you have any suggestions what service is really free for static websites, don't hesitate to inform me. As for the Koji, this nice startup was sold, thus, I took the link down from the last video. But if you would like to support me somehow, the best free support is likes, comments and watch-time. While when you would support me financially, you can Thank the video (although youtube takes ca. 50% of that), send me something via paypal or, become a member of the channel. I still did not set up the membership, because I don't believe anyone your become a member even for 1$ per month. But may be I am wrong? Anyway, thanks for watching and being part of my journey on this channel mate!
Great suggestion! It's actually already on my to-do list! Time is the limiting resource, because I have a normal job to pay the bills. But I'll do my best to produce more content. Thanks you very much for feedback and for watching!
Thank you very much! Will definitely do. Just made some videos on linear regression in R. Logistic will follow and then the rest of models including Survival and ML one day. 3 years ago I've done two videos on survival already, but they are old, theoretical and low quality. I'll redo them in a more concise and R focused way. Thanks for nice feedback and for watching!
thanks a bunch!! I have a random question: how to add a proportional weightage to a numeric variable on the outcome variable in a lm/glm and visualise. It is much like giving the weightage to the sample size of each study “n” to the outcome. Much like meta analysis but it is a pooled analysis. Thanks in advance
hmm, before I say something wrong or stupid, I'd rather say I don't know. There is a "weights" argument in the "lm/glm" (lm(data = mtcars, am ~ mpg, weights = )), but I never used it to be honest.
Thanks for such a generous feedback, Alex! Much appreciated! Sorry, Netlify shut down my blog since they want me to pay for increased traffic. I refuse to pay for doing something useful for the world (without earning absolutely nothing) and since R is open source. But I want to reopen it ASAP, as soon as I find an alternative for Netlify. It'll take some time though, because I am not an IT guy. But since TH-cam is still free, please use the videos till blog is up and running again, since my blog is actually the script for the video, word by word, code by code. Thanks for understanding!
that's a great question. unfortunately not. that's why I am still hesitating making tidymodels videos. they don't work with the most practical stats packages together, yeat. and since I do more stats then ML, I will cover stats topic first before going ML and AI
You set the bar high sir, I am new to this channel but I found it highly informative and educational. Please can you share the code in pdf or some other means. How can I find you on githu. I am YBMengist from Ethiopia.
I'm so into your channel for your clear concise explanation. Watching and learning from each of your videos one by one. Thank you very much. [One problem I have been facing when using check_model() command, It shows Plot area is too small. I've tried the solutions it shows in console panel, but couldn't make it work, didn't find any solution online]
Thank you so much for such a nice feedback! I greatly appreciate that! Sure, it's normal. There are several solutions for it. First, just increase your plot area via dragging the plot window higher and wider. Then, you can click on the + in the plot area to open an extra window, like I do in my videos. And lastly you can use ggsave command to save the last plot like I do in videos. Let me know whether one of those worked.
Now that I'm not rushing to be the first commenter, I have to ask: Why use ggeffects instead of emmeans? And although you pointed out that the result is not averaged over all levels of all factors, you should have mentioned that emmeans (or maybe other libraries) should be used in that case. What I use is sjplot tab model to just tell which factor have significant effects, and then emmeans with contrast/pairwise which I like to plot out. By the way, what do you think about showing both in a publication? Another question is that does it not matter that your multivariate model has only + and not * between all the predictors. Sorry, I know these may not all be short answer stuff, but I'll appreciate your response as always. Thanks.
Hi mate, first, the ggeffects instead of emmeans it's just convenience for visualization. In fact, ggeffects uses emmeans in the background. Tab_model is fine, but does not produce contrasts, emmeans and tbl_regression(add_pairwise_contrasts = T) do. I always show contrasts in my publications! Don't know what do you mean by "both". You can't use interactions between all the predictors, your model would most likely collapse and be hardly interpretable. Interactions are cool, and I use them, but they can be pain in the ass, so I try to use only bivariable interactions (between only two predictors), not multiple interactions in the same model. Cheers!
Hi Benjiz, unfortunately it was blocked for too much traffic. I’ll try to reopen it ASAP with free alternative, but in the meanwhile please just rewatch the videos, because my blog is the script for them, so you won’t miss anything. If you wanna get the whole code now, consider to join my channel to become a member, because I send the code to members. Cheers
@@yuzaR-Data-Science It's mostly when I do Multiple LR with many features. I already made sure all were numeric and no categorical but it doesn't plot for check_model(). For some other lr it still works..?
still, the rstudio is not a problem, it could be too many predictors, bad data quality, total separation or something else. get it to work with a few predictors first, then you can select good predictors and go with them. check_model works fine a my pc with most models.
Please renew the link to the code for this video, I just missed the window, joining today but it is 8 days after your link which lasted 7 days...Also in addition to my concrete positive feedback by joining, please accept enthusiastic compliments on the style and content of your videos!
Hey hey 👋 thanks for joining the community and for such a nice feedback on my style! That's always very helpful, since people have different tastes, and when I do content which resonates with others - that's very fulfilling! I just updated the link for multivariable regression. Thus enjoy the article and let me know when you need other pdfs with code too. Very warm welcome and thank you for being here! 🙏
I saw a message saying you renewed the link, thank you, but the renewed link (now 3 days old) still gives an expired message from wetransfer...sorry to be a bother....also your reply here has disappeared so I hope I am not hallucinating 🙂but there are 2 messages for the same video in the group perks page so I think I am sane
hey hey, wetransfer reduced the number of days to 3 (here is what they say: Transfer expires in 3 days). then I have to udjust all the messages. I'll try to handle that issue asap. until then I renewed the link on the community tab. but here it is also for your convenience: we.tl/t-lSFy6cX2Ct
Netlify shut down my blog since they want me to pay for increased traffic. I refuse to pay for doing something useful for the world (without earning absolutely nothing) and since R is open source. But I want to reopen it ASAP, as soon as I find an alternative for Netlify. It'll take some time though, because I am not an IT guy. but since TH-cam is still free, please use the videos till blog is up and running again, since my blog is actually the script for the video, word by word, code by code. thanks for understanding!
I am a PhD candidate and I am using these models in my data analysis. Great video so far on this topic!
Glad it was helpful! Thanks for watching!
An someone who is self-taught for the purpose of using data science to better understand sports, I found this video extremely useful. Now on to watch all of your videos!
I am so glad it was useful! I try to make videos I wished somebody have done before me as I was learning Data Science myself :) I hope you like some other videos too! Feel free to give any feedback (what is good, what is bad), since I am a beginner in creating videos and still learning. Cheers!
@@yuzaR-Data-Science Sure. I think your videos are really clearly explained with great visuals and you use good examples. Another great aspect is that you have introduced me to a bunch of amazing packages that I didn't know about. If I could make a request for a video it would be for a full analysis of a data set (it doesn't have to be too complex) and model creation from start to finish (personally I use a lot of multiple linear regression). I have seen others go through the process of creating and tuning models using data from Kaggle competitions, which taught me a lot. Thanks again.
@vagabond197979 Hey, thanks again for your nice feedback! Yes, I would love to do the analysis of datasets! I just wanna cover the stat and ML topics first. For instance, now I am on the confusion matrix series, next - agreement series, then mixed-models ... you get the idea. So, I might need to insert analyzing datasets in between. What are your absolute top 3 videos (or top 3 youtube channels) for analyzing datasets from which you have learned the most and watching which you enjoyed the most? I would look them up and decide whether my idea of how to work-out the dataset is any good.
@@yuzaR-Data-Science I'm very curious about mixed models as I currently am totally unfamiliar with them. I'm also interested in topics such as ensembling and feature engineering. I think the best part about your videos is that they cover practical stuff that you actually use in real life, not just the basic "this is the syntax for simple linear regression in R." As far as my favorite videos, I looked through the list that I've saved and apparently I forgot to bookmark those that analyze the dataset. I remember watching a really good one where the guy started from scratch on the Titanic Kaggle dataset and finished by using ensembling to come up with the best predictions for survival (I saw you did a video using this dataset as well). Maybe I will come across them and I will be sure to send to you. All the best and please keep the videos coming!
thanks mate! analysing dataset is another idea I would love to do, but I first want to cover more topics, like you asked - mixed models and more. but please, send me the video of the other guy, if you stumble again on it. I would very much appreciate that!
1:12 It gets worse. In the context of ANOVA you have 'factors' for categorical independent variables and 'covariate' for numerical ones. 😢
1:50 yeah, performance::check_model() is the bomb.
yeah, factor is another useless name. drives me nuts. especially, when ML folks come and name old good known things in a new fancy manner :), just complicating things for everyone while feeling great. check_model rocks 🤘
Hands down some of the most informative videos that exist on Linear models. Very concise too ! Thank you 🙏
You're very welcome! And thanks for such a generous feedback! ☺️
This is gold. Thank so much Sir for sharing this valuable knowledge ❤
Thanks so much 🙏
Great and to the point. Thanks!
I'd like to see you explain some topics like propensity score matching, multiple imputation, and principal component analysis.
I guess that would be fantastic if you present them in a such elegant way.
Thanks, Ahmed! I already have an older video on Imputation, but it still works, I use {missRanger} package for imputation to this day. Feel free to check it out! Thanks for the suggestions, I'll put the on the list! I plan to cover basic most common models first though, like logistic regression, before coming to PCA. So, please, stay tuned. Cheers!
Incredible work! Thanks :) Could you please deepdive into tidymodels too?
Great suggestion! :) And I actually tried to do that for linear model twice, but broke up due to a unnecessary complexity of tidymodels for simple models, like LM of GLM. Paradoxically, the functions I use here are much more insightful :). But I still have it in the back of my mind to dive deeper into tidymodels. I just created one video on resampling in tidymodels, and it did not perform better as good as one might think in the age of machine learning. The emmeans video is better, may be because it's more useful and pragmatic. Anyway, thanks for watching and for your nice feedback!
I'm not surprised by your observation. Why would anyone do machine learning using the complicated recipes in TidyModels when SciKitLearn in Python is much tidier and straightforward?
well, one day I have to learn Python too I am afraid ;)
Outstanding! Thank you so much for putting so much effort in these educational videos!
So nice of you! Greatly appreciate your positive feedback!
Fantastic and concise content as usual with elegent explanation! Keep up your great work!
Much appreciated! I always enjoyed creating content, but such warn feedback as yours tells me that it's also useful! Thanks so much!
This is super cool! Best rstats content on TH-cam! Will you show multivariate (multiple outcomes) next?
Wow, thanks for such a generous feedback! 🙏 Love it! Multivariate? Eventually, but I never understood what's the difference between multivariate models with 3 different outcomes and 3 separate models of the same outcomes? Is there any connection between outcomes, are they somehow weighted or so? Because if not, I already created a video which is much better than that "Many Models At Once". If yes, please, let me know, and, if you can, recommend some good literature. Cheers!
@yuzaR-Data-Science my understanding is that if the outcomes are correlated but still different, then, not accounting for this could bias the estimate, and on the other hand, accounting for it could reduce the standard error, providing more precision (and statistical power). For example, if you want to study the effect of a medicine on some sort of mental health phenomenon, you could ask for patients to self-report their state, but in the same study, you could also ask their doctors to give their ratings, and on top of that you could maybe use their smartwatch to collect some behavioral data. All three are indicators of the same thing but also a bit different.
that's interesting, I work in vet-med area, and we rarely do multivariate models, but I would have a look at them, and in the end, if I'll find them useful, I'll definitely make a video on them. For now I am concerned about the assumptions. what if assumption for one response hold, but the assumptions for the other not? What model do you use then? Quantile regression? Is there something line a non-parametric MANOVA in R anyway? soooo, many questions :)
Very good explanations! Very good visualizations! Great - thank you!
Glad you enjoyed it! Thanks for positive feedback! 🙏
as always - excellent!
thanks, mate! glad you liked it!
Wow! One of the best videos I have ever seen. Vwer informative.
Wow, thanks for such a generous feedback! If you know some folks who also would benefit from it, feel free to share it! I wish I had something like this video as I started to learn R. I hope the other videos are helpful too! Thanks again! Cheers!
Hi, thanks again for this great video.
I really enjoy your explanations, but your blog was much more useful for quick access to concentrated information.
Videos are very helpful to understand from scratch, but seeing important screenshots in your blog quickly during a time-sensitive project is very important.
Plus, Koji is also down.
Thanks a lot for your nice feedback! Unfortunately, my blog was shut down, since Netlify wanted me to start paying for increasing traffic. Since R is open source and I do not earn anything from my blog, I refuse to pay for trying to do something useful for the world. I know the blog is useful, thus I am working on a solution to find the alternative for Netlify. But since I am not the IT guy, it might take time. If you have any suggestions what service is really free for static websites, don't hesitate to inform me.
As for the Koji, this nice startup was sold, thus, I took the link down from the last video. But if you would like to support me somehow, the best free support is likes, comments and watch-time. While when you would support me financially, you can Thank the video (although youtube takes ca. 50% of that), send me something via paypal or, become a member of the channel. I still did not set up the membership, because I don't believe anyone your become a member even for 1$ per month. But may be I am wrong? Anyway, thanks for watching and being part of my journey on this channel mate!
Excellent work! Thanks YuzaR
Glad you like it! Thanks for watching!
Excellent explanations!
Glad you think so! Thanks for watching!
Hi Prof/Dr. Yury, I really love your videos because they are very intuitive. Please share how to analyse Likert scale questions using R. Thank you.
Great suggestion! It's actually already on my to-do list! Time is the limiting resource, because I have a normal job to pay the bills. But I'll do my best to produce more content. Thanks you very much for feedback and for watching!
Great work. Please do videos on Survival Analysis in R as well😊
Thank you very much! Will definitely do. Just made some videos on linear regression in R. Logistic will follow and then the rest of models including Survival and ML one day. 3 years ago I've done two videos on survival already, but they are old, theoretical and low quality. I'll redo them in a more concise and R focused way. Thanks for nice feedback and for watching!
Hi, I’m a new subscriber. Wow🎉I am glad you shared this! Thank you!
Thanks 🙏 Amanda! Hope other videos are also useful ☺️
Thanks so much!
You're very welcome! Thanks for watching and commenting! That's the best support for the channel!
thanks a bunch!! I have a random question: how to add a proportional weightage to a numeric variable on the outcome variable in a lm/glm and visualise. It is much like giving the weightage to the sample size of each study “n” to the outcome. Much like meta analysis but it is a pooled analysis. Thanks in advance
hmm, before I say something wrong or stupid, I'd rather say I don't know.
There is a "weights" argument in the "lm/glm" (lm(data = mtcars, am ~ mpg, weights = )), but I never used it to be honest.
@@yuzaR-Data-Science thanks!
you are always welcome!
As usual: excellent class! Best content about stats on yt! But it is not possible to access the scripts via the link in the description (it is broken)
Thanks for such a generous feedback, Alex! Much appreciated!
Sorry, Netlify shut down my blog since they want me to pay for increased traffic. I refuse to pay for doing something useful for the world (without earning absolutely nothing) and since R is open source. But I want to reopen it ASAP, as soon as I find an alternative for Netlify. It'll take some time though, because I am not an IT guy. But since TH-cam is still free, please use the videos till blog is up and running again, since my blog is actually the script for the video, word by word, code by code. Thanks for understanding!
Hi Sir, great video. How do we extract the invidual plots from the check_model(model) function from the patchwork package?
good question, I have a video on performance package. check this out and you'll see the demo with answers your question :)
Thanks for your content, this is super useful. How can performance be used with tidymodels glm models? Any examples you can point to please?
that's a great question. unfortunately not. that's why I am still hesitating making tidymodels videos. they don't work with the most practical stats packages together, yeat. and since I do more stats then ML, I will cover stats topic first before going ML and AI
@@yuzaR-Data-Science thanks for the feedback keep up the excellent videos 👍
I will 🙏
Thanks for the great video!
Glad you liked it! Thank for watching!
Thank you for video. I am using performance package in shiny web application. How can i import performance package in shiny?
I never tried. Could you please let me know, whether it worked, when you try it out? Thanks for nice feedback!
Thank you sir
So nice of you! Thanks you for watching and commenting!
You set the bar high sir, I am new to this channel but I found it highly informative and educational. Please can you share the code in pdf or some other means. How can I find you on githu. I am YBMengist from Ethiopia.
Thank you again for your nice feedback. Have a look at my responses to your two previous questions. Kind regards!
I'm so into your channel for your clear concise explanation. Watching and learning from each of your videos one by one. Thank you very much.
[One problem I have been facing when using check_model() command, It shows Plot area is too small. I've tried the solutions it shows in console panel, but couldn't make it work, didn't find any solution online]
Thank you so much for such a nice feedback! I greatly appreciate that!
Sure, it's normal. There are several solutions for it. First, just increase your plot area via dragging the plot window higher and wider. Then, you can click on the + in the plot area to open an extra window, like I do in my videos. And lastly you can use ggsave command to save the last plot like I do in videos. Let me know whether one of those worked.
Interesting, I like it
Glad you like it! Thanks for watching!
Great video
Glad you enjoyed it! Thanks for watching!
Is there any way .. from where i can get the data used by you in this video
of coarse!
install and load ISLR package, the data is in there ;)
library(ISLR)
thanks for sharing
Thanks for watching!
i like equatiomatic package (EDIT i found it)
Thanks again for your efforts !
Excellent! :) you are very welcome!
It is no longer in cran. Where did you install it from?
try this: remotes::install_github("datalorax/equatiomatic")
First here. Good job as usual.
:) Thanks mate! Greatly appreciate your support!
Now that I'm not rushing to be the first commenter, I have to ask:
Why use ggeffects instead of emmeans? And although you pointed out that the result is not averaged over all levels of all factors, you should have mentioned that emmeans (or maybe other libraries) should be used in that case. What I use is sjplot tab model to just tell which factor have significant effects, and then emmeans with contrast/pairwise which I like to plot out.
By the way, what do you think about showing both in a publication?
Another question is that does it not matter that your multivariate model has only + and not * between all the predictors.
Sorry, I know these may not all be short answer stuff, but I'll appreciate your response as always. Thanks.
Hi mate, first, the ggeffects instead of emmeans it's just convenience for visualization. In fact, ggeffects uses emmeans in the background. Tab_model is fine, but does not produce contrasts, emmeans and tbl_regression(add_pairwise_contrasts = T) do. I always show contrasts in my publications! Don't know what do you mean by "both". You can't use interactions between all the predictors, your model would most likely collapse and be hardly interpretable. Interactions are cool, and I use them, but they can be pain in the ass, so I try to use only bivariable interactions (between only two predictors), not multiple interactions in the same model. Cheers!
Hi yuzaR, is your website down? I'm trying to get get the R code from some of your videos, but is unable to visit your site.
Hi Benjiz, unfortunately it was blocked for too much traffic. I’ll try to reopen it ASAP with free alternative, but in the meanwhile please just rewatch the videos, because my blog is the script for them, so you won’t miss anything. If you wanna get the whole code now, consider to join my channel to become a member, because I send the code to members. Cheers
Thanks
Welcome! As always! Thanks for watching!
Excélsior!
thanks mate!
Which version of RStudio are you using? I'm running into error's often.
The last one. But R Stuio is most likely not a problem. Just update everything: R, Rstudio and packages 📦 let me know whether it worked
@@yuzaR-Data-Science It's mostly when I do Multiple LR with many features. I already made sure all were numeric and no categorical but it doesn't plot for check_model(). For some other lr it still works..?
still, the rstudio is not a problem, it could be too many predictors, bad data quality, total separation or something else. get it to work with a few predictors first, then you can select good predictors and go with them. check_model works fine a my pc with most models.
Please renew the link to the code for this video, I just missed the window, joining today but it is 8 days after your link which lasted 7 days...Also in addition to my concrete positive feedback by joining, please accept enthusiastic compliments on the style and content of your videos!
Hey hey 👋 thanks for joining the community and for such a nice feedback on my style! That's always very helpful, since people have different tastes, and when I do content which resonates with others - that's very fulfilling! I just updated the link for multivariable regression. Thus enjoy the article and let me know when you need other pdfs with code too. Very warm welcome and thank you for being here! 🙏
I saw a message saying you renewed the link, thank you, but the renewed link (now 3 days old) still gives an expired message from wetransfer...sorry to be a bother....also your reply here has disappeared so I hope I am not hallucinating 🙂but there are 2 messages for the same video in the group perks page so I think I am sane
I refreshed the page and your reply is back, so that is progress, please see prior message@@yuzaR-Data-Science
hey hey, wetransfer reduced the number of days to 3 (here is what they say: Transfer expires in 3 days). then I have to udjust all the messages. I'll try to handle that issue asap. until then I renewed the link on the community tab. but here it is also for your convenience: we.tl/t-lSFy6cX2Ct
what happened to your website?
Netlify shut down my blog since they want me to pay for increased traffic. I refuse to pay for doing something useful for the world (without earning absolutely nothing) and since R is open source. But I want to reopen it ASAP, as soon as I find an alternative for Netlify. It'll take some time though, because I am not an IT guy. but since TH-cam is still free, please use the videos till blog is up and running again, since my blog is actually the script for the video, word by word, code by code. thanks for understanding!
@@yuzaR-Data-Science I see, too bad I really enjoyed your work! Maybe github pages is an alternative?