Відео

Thanks a Lot for these Videos. The way you have explained things is commendable. I wonder why you have so less followers.

For all data set we do same process or any changes happen

very insightful tutorial

Link to previous video pls

Nice explanation; I loved the way you used the two extreme cases for clustering.

Sir, I have analysed 850 soil samples for different forms of soil acidity and 7 other soil properties like pH, EC, OC etc. Sir, I would like to predict Exchangeable acidity (numeric) with 7 soil parameters. How should I calculate random forest?

what is nc in WSS function?

Thank you ur vedio brought me a hope that R is easy

why the f you scream this much...

Thank you so much❤

Made it so simple and illustrative... thanks a lot

Hi, what is this "predict(...)" function? Is it from 'randomForest" or it's R built-in function? Thanks

Hello, Can you help me please

good explanation

What if i'm trying to load my personal data in?

can you please make this same video but in python...

My autoplot(KM, mydata, frame= TRUE) doesn't work. I run it and it doesn't do anything. I have to point out that I didn't run the wssplot function though. Is it because of that? I fixed it. It's because of my lack of R syntax knowledge! I have no idea why but I am running R in vscode and vscode doesn't print the variables if they are not in a print function.

good job, short and directly to the point. thank you

Hi, thank you very much for sharing this video :) the only one tutorial that I was able to follow. One question, my predicted variable is not categorial, but it´s an area of deforestation. So, Can I use the code you shared in this video?

Excellent explanation! Thank you!

So glad to see 85k views!

how can incorporate upsamling or downsampling before running the random forest model? neeeeed help pls

This whole series was so helpful - thank you so much!

Super helpful, thanks!

The mean of my cor(data) is 0.45. Is it not eligible for pca? What should i use for variable selection then?

Excellent video!! Thank you so much

29k views! 👏

Worst educational video I've seen for a while. And I've watch thousands.

This was very very clear. I enjoy the examples showing the extreme scenarios to make the optimum example hit home.

Hansel is a thicc boy

You have some great videos. Why have you stopped posting videos?

This was so helpful thank you

After 2 hrs of surfing internet about the subject, i found this video and it clarified the concept in 3.11 minutes. Really Thank you

Nice explaination ❤

Sir, You are a Good TEACHER, Short and sweet explanation, Superb

us data analysts learning more than necessary about plant terminology..

useful. thank you. I will try this.

Hello, thanks for great video! It is heelpful. What do you suggest for stability test in r? Which function I can use?

Bang kalau pake data citra data raster bisa nggak?

Thank You very-very much! It is certainly one of the best explanations. Very helpful! But I have got some questions. 1) I can not understand what do we do next with the PCAs? Shall I use it for multiple regression along with other variables or for clustering? 2) Can I reevaluate impact of variables using loading data? For instance, I use 5 variables to build PCAs. My PCA1 and 2 describe about 85% of variability, but each PCA does not connect to - lets say - the 3rd variable. May be I should delete the 3rd variable and run the analysis with only 4 others? Will this improve the outcome? 3) Why are some spaces blank in loadings (minute 6.28 on the video) - like Sepal.Width vs Comp.1? 4) And the final - body mass index is given as an example of PCA outcome. Does that mean that we can retrieve PCA1 and name it as a sort of new stable variable? Or BMI is just an example of data dimension reduction that does not correspond to PCA directly? Thats a lot of questions - but I really wonder...

Thank you man, you finally made it made sense!

Hello EasyML Awesome tutorial video. I wanted to know how can we determine the individual components of a cluster? What each of these blue and orange dots represents on the autoplot? Please help. Thanks in advance.

Thanks very much . Well explained and very useful

sir I feel there is some problem with the explanation here of the confusion matrix. The axis needs to be reversed.

Very helpful play list. Thanks a lot

Thank Sir

EXCELLENT tutorial I must say.... you are born with extraordinary God-gifted abilities my dear.

I had to stop the video to appreciate you for such a wonderful tutorial.

Full video here :- ua-cam.com/video/NfIM9pUH9DA/v-deo.html

how do you determine what each cluster represents?