Random Forest in R - Classification and Prediction Example with Definition & Steps 

The best video i have ever seen for a random forest function in R. Thank you so much sir it was very informative, really appreciate your so simple way of explaining all parameters.

I’ve searched lot of RU-vidr videos about random forest this is the best. Thank you for sharing! God Bless you!

The best video I have seen so far regarding explaining Random Forest! Kudo to you, sir!

Far far better and comprehensive than those paid courses.. you explained so simply yet so much details and clarity in your video. Thank you so much !!

Definitely the best video on random forest. Such a great public service... making video, and sharing code and the data file. THANK YOU!!!!!

You should be my lecturer Sir because within 30 min, you were able to simplify something that i couldn't understand in class which took me weeks of research

Excellent tutorial sir… I am new to R and this video helped me a lot in understanding all the steps ,,,,

The best video about random forest so far. Thanks for ur great job! Very helpful!

Excellent work. I really appreciate how you cover everything (from model fitting to visualisation) and break it all down simply. This stuff isn't rocket science, but few instructors convey the beautiful simplicity of Random Forest.

This is the best that I have searched for learning random forest. Thank you for your instructive step-by-step demonstration! Appreciate it a lot!

One of the best videos on Random Forest in R covering all important functions used in Random Forest.

simplicity brought to the utmost expression so everyone can learn random forests... thanks man

Truly the best video that explains random forest in detail and clearly with examples

Hi Bharat, i don't normally comments on youtube videos, but your explanation on each and every details is excellent. I hope you come up with more videos in R. Thanks a lot.

Your teaching is absolutely brilliant. Thanks for sharing your knowledge. I really appreciate it.

Awesome video and very clear explanations, not onlyon how to build a random forest model but also on how to interpret the data, and how to present it. Thank you for this!

Thank you Sir, as others said, I will also echo in their voice that this is the best video in random forest, Please keep making more videos like this, you are doing a great service to all the learners.

The bestttttt video i have ever seen for a random forest function in R. Thank you so much sir

Very clear and informative. I learnt so much in just 30 mins.This is so awesome! Please keep doing more of these! Thank you for taking so much effort and making these videos.

Thank you so much Dr. Bharatendra Rai ji. I was able to work with the csv file onto Mac now. Really enjoying hands on practice of the same file as instructed in you tube

Dear Dr. Rai, I wish sincerely to say you thanks for your clear and patient explanation this method and many other approaches using R. It is easy to understand and to reproduce, and very heplful to plan data analyzing and to analyze the data.

Seriously sir, you just got me through my machine learning final project. Thank you!!

I'm again watching this video and I would really thank you for such a nice and clear explanation. Please in every video give a theory lecture like this to better understand it's implementation. Thank you so much Sir.

This is an excellent video - comprehensively explained. Thank you, Dr.

A great video for random forest. I learned a lot from this video compared to any other video I went through in the past. Thank you

Amazing - thank you very much for your knowledge and your skills of teaching. You seem like a very kind person. I have seen a lot of your videos. Best of luck from Scandinavia to you and your family.

This is why I love you best teacher out there!

Always brilliant professor. Every minute I learn something new with you.

Can you please put in the description what packages you used to make this random forest. Thank you.Very well done video. good pace and good examples

Clear explanation, easy to follow. Thanks a lot!

ProfThanks for the best ever videos on statistics n machine learning. I am one of your ardentfans. Wouldn't be where I am without your videos...which I have applied in hydrology.. Kindly give us one on hidden Markov chains....hmm. God bless you.

Amazing Sir !! the way you solved and taught Random Forest was impeccable....

Thanks for sharing this video and knowledge. you are explaining it very well and detail. this is the best video.

Thank you sooooo much! I watched too many videos, can't find what I want until finding your video!!

Nice Videos and very informative. Please Keep sharing the information/Knowledge. Thank you.

Thank you sir ! what a wonderful video! It help me a lot to understand the subject "Random Forest" and also the application R.

Very clear tutorial on random forest. Thank you.

Thanks, very comprehensive video about RF! :)

HI Sir, all your videos are in good understanding way and easy to understand. Could you please create few models using some eCommerce data for me.

Superb video. Such a beautiful explanation. I really liked your teaching Sir.

Dr. Rai, Impressive video on Random Forest in R. I wonder if you are in some teaching profession; anyway it served my purpose of learning what actually it is and how the results behaves, it is not explained in one single video!

You have explain this very nicely. Very good video.

Great video, you made random forest clear and easy to understand. Thanks a lot. Would you please make an example on partial least square regression for discrimination and prediction?

Thank You so much Sir. Your video series on machine learning using R is the best and the most helpful among all the R ML content that I have seen on the RU-vid platform. Sir, I have a small doubt regarding Random Forest. Can we also use it for scenarios when the dependent(target ) var is continuous? And also is there any way to tackle missing values in R when we are working with Random Forest?

It is a great video Dr. Thanks for clearly explaining.

Man, you are probably the best dude when it comes to R. You should consider teaching R courses on Udemy. Or come teach in NYC!

so clear explanation and easy to understand. thanks!

It was very useful and signifcant to my research! Thanks.

Thank you very much. I learnt a lot about the RF from the video

The best video on random forest in R: there is also one on Artificial Neural Network, glm by the same person

It is good to learn required things through this video, thanks for such a nice explanation.

Sir I would like to thank you for this great video! Very clear and complete!

Thank you for this extremely useful tutorial. Brilliant

This tutorial is Very clear and informative, Thank you for the wonderful video.

Thank you very much for your video. It is very explanatory and I learned a lot from it.

It sense like if you know the music you can play any music instrument. Same ball, same play ground but if it is being dodge by Messi or Ronaldo, It is worth to watch. Thanks sir.

Thank you very much for giving all the clarity regarding Random Forest. Can you also give a little bit of explanation on how to analyze spatial data? Thank you in advance!

Thanks for the video. It is very instructive with clarity. Can you put up the RF for Regression too. I have continuous data that I am working on now and need to use RF in comparing the prediction performance.

Thank you for this excellent walk through.

Excellent , Best so far for Random Forrest

Excellent video on rf. Thank you

To the point and concise, thank you

Very good Video...keep it up thanks for sharing with us.

Thank you very much for the video, you made everything clear and easy.

Hi. It was a detailed explanation thanks.. I have a confusion in the last module, Multi Dimensional Plot -> What's Dim1 and Dim2??? What are they depicting??

Brilliant. I love your work.

This is one great video! So concise and so much information and we'll explained. Thank you a lot!

Hello. This is a fantastic example of random forest for classification. I was wondering if you have an example of random forest for regression use? I am interested in predicting a response variable that is continuous rather than categorical. Thank you again for your wonderful tutorials.

Hello Dr. Bharatendra... Thanks for you video

Ahhhh Thank you so much! This was an amazing video!

You have the best damn video's. You are so thorough and I love that you don't use easy data sets.

Best tutorial Video for Random Forest in R so far! Thank you Mr. Rai. And I have one more question---I'm trying to predict the Player of the Week (NBA) based on the historical data. Given that the NBA select POW weekly based on the player's stats of that week compared to others, how should I deal with the data.For example, I have all 88 weeks dataset for all players, how should decide the which part the TRAIN/TEST data is? I can't just combine them together, can I?

Thanks, i am happy if you share videos for prediction as the above is about classification.

thanks for the video, you cleared my all dought towards the Random Forest tree, thanks for the video & sharing the knowledge

Great video. Your video in CART was also excellent

You are the best sir, please make a tutorial on regression problem in Random Forest and Xgboost algorithm.

Great and informative explonation, approachable and clear,thank you very much.Please say me ,what libraries and plots we should use for achieve achieve this cool visualization that we can notice at 5:52?

Really clear and useful tutorial ! Thank you.

Sir could you please explain the TuneRF function and why you left out the 22nd variable in train set.?

Very nice explanation. If you can also provide explanation on the partial plot (y axis, logit difference) and put more light on gini for varimplot()?? Overall amazing tutorial. Thank you for such wonderful upload.

Best video on Random Forest

Thank you for this video. Really helpful. Could you please just tell one thing that, you showed here the partial dependence plot by individual class. So, if want to make all three class plot in one graph how to show? Thank you once again.

thanks a lot for this video..very useful..keep the good work going :)

Your tutorials are insane, God Bless you. Sir can you state please what is the purpose of Multidimensional scaling plot of proximity Matrix, and how can we know which color of the point in the graph corresponds to which class or factor. Thank you

Best tutorial on Random Forest algorithm. All videos of Dr. Bharatendra Rai are simple and precise. Just a query on this video, what does different colors in error chart at 18:00 represent ? Thanks in advance

I have a question how did you plot this graphic in 5:33? It will help me a lot with my presentation. And Thanks for the great class

Very impressive video! May I know how to find the root of the tree at 5:50. using Gini impurity or information gain?

What an incredible video... Incredible

Thank you so much for your sharing regarding Random Forest. I highly appreciate. My bank is running the project about developing credit scoring card (application scorecard) using Logistic model which can calculate Probability of default - PD - of each customer. Therefore, could you explain and make some interesting videos to use RF model for credit scoring to estimate PD. (Together the best video regarding RF for classification, could you share the method for regression). Thank you so much from the bottom of my heart

Amazing video sir...learn a lot

Incredible sir...plz made a video list for parametric test and nan parametric test

Undoubtedly Awesome Stuff

Great video very very very good Thank you so much

Very useful lecture. Could you please let me know that is the range (min, max) of the MeanDecreaseGini, and MeanDecreaseAccuracy? Thanks very much for this.

Thanks for the video, it is really helpful. I step on var importance plot, it is useful to get the most significant variables. Also it would be really interesting to show the same output but for each class instead to see the variables which best describe each class. By any chance, do you know how to get that idea? I sought though different websites but couldn't get a clue.

Very nicely explained.

Very well explained sir. Please tell me how Random Forest can be applied to time series where we have unlabeled data. Thanks in advance..

First class, awesome :)

Most excellent video!!!

As usual brilliant work. Learning alot from these videos. A small question though. ind=sample(2,nrow(mydata),replace=TRUE, prob=c(0.7,0.3). Can I use this code for my dataset when i have alot of classes? or if theres a video talking about what this sampling does? Thank you.