So Easy to Understand all the concepts of ML Thank you for this

Great video, simple easy to understand explanation for beginners. Thank you!

Thank you for the beautiful presentation.

Thank you for the beautiful presentation. Could you please give an example using spatial data.

Seven ML Classifiers with python using colab: kzread.info/dash/bejne/Y5dssstposuTn7Q.html

This is an excellent and time-efficient video with a great explanation.

All the prerequisites I was hoping for was covered and explained clearly. Thank You sir !

@UnfoldDataScience

10 ай бұрын

Thanks a lot

Very informative. Thank u...

Thanks, this came really handy 1 day before interview 😁👍

@UnfoldDataScience

Жыл бұрын

That is the purpose of this video,🙂

Very important, I need to watch it again and again.

Best Video for a quick introduction/refresher on ML Algorithms. Kudos!

@UnfoldDataScience

10 ай бұрын

Glad it was helpful!

Good presentation . Thanks 👍

This is super helpful. Thanks for putting this together. ❤ Can these all work on more then 2D data ?

@UnfoldDataScience

10 ай бұрын

Yes Vinay. Thanks

@atiqrehman8435

5 ай бұрын

True that

Very simple and effective method of teaching all algorithms

Useful content Aman! Thanks for your efforts to teach complicated but important concepts in M L

Thank you. Very nicely explained. Kudos to you. Keep-up the good work.

@UnfoldDataScience

9 ай бұрын

Thanks Vikas. Apne friends group me bhi share kar dijie.

Great session and well explained. Thank you sir. Please create more videos to explore more.

@UnfoldDataScience

10 ай бұрын

Thank you, I will

Great Aman!! Wonderful explanation ❤

Thank U Sir . Clearly got an idea on all algorithms in very short time ☺️

@UnfoldDataScience

Жыл бұрын

Most welcome 😊

best video for quick revision !! tq ..Aman '

@UnfoldDataScience

Жыл бұрын

Thanks Chandra.

very pretty and clear explanation .stay tuned and thanks very much buddy

@UnfoldDataScience

9 ай бұрын

Welcome.

Great informative video. Thank you for sharing your knowledge.

@UnfoldDataScience

10 ай бұрын

Glad it was helpful!

It looked good to me, thank you.

Great presentation and i think this is one of the best videos on simply making understandable to the concepts. thanks for the video

@UnfoldDataScience

8 ай бұрын

Glad it was helpful!

Hi ,This Ch Srinivas ( EX Faculty in ACE academy and currently working in MADE EASY IES, I would appreciate your teaching process . Thanks for sharing your knowledge. GOD bless you. I am planning to do PhD in Data Science please give me your valuable suggestions. Thanks

@UnfoldDataScience

10 ай бұрын

Thanks Srini, welcome to channel

@jayalekshmik3706

7 ай бұрын

Yes I too would like to know what entails in a ML path

Very Informative video, thank you

@UnfoldDataScience

7 ай бұрын

Thanks a lot.

Nicely explained! Very helpful.

@UnfoldDataScience

8 ай бұрын

Thanks for watching. Keep learning

A very good lecture to refresh my knowledge my name is Surajit Chanda i am an instrumentation engineer and also a Software Engineer

Very handy for a quick recall

Excellent, Thank you very much

@UnfoldDataScience

7 ай бұрын

Thank you

Good Explanation Sir

This is a very good video for revision of ml models.

@UnfoldDataScience

9 ай бұрын

Thanks Isha. Please share with friends as well

It was indeed a great session, thanks

@UnfoldDataScience

Жыл бұрын

Thank you Pradeep. Pls share with friends.

@Paladipradeep

Жыл бұрын

@@UnfoldDataScience Already did

Wish this kind of tutorial 5 years ago. But it’s not too late. Simply one the best.

@UnfoldDataScience

10 ай бұрын

Thanks Vamsi.

thanks for this very helpful video !

@UnfoldDataScience

7 ай бұрын

Glad it was helpful!

Sir, Ultimate Teaching Style, Sequence of arranging Topics are highly help full to us. Great

@UnfoldDataScience

8 ай бұрын

Thanks a lot. Please share with friends also.

That's very well explained highly appreciate the content ❤❤❤

@UnfoldDataScience

8 ай бұрын

Thanks again, please share with friends as well.

Thanks for this..quite a critical video for everyone who's having interview (s) lined up.

@UnfoldDataScience

Жыл бұрын

Thanks Deb.

Good, i am first time watching, very understandable.

Thank u so much brother I am new subscriber of u r channel After seeing ur videos, i thought that i got some support in Learning of ML Ur videos are in very simple English Thank you brother

@UnfoldDataScience

10 ай бұрын

Thanks a lot.

This is the best explanation till I saw..😊

@UnfoldDataScience

9 ай бұрын

Thanks Pawan. Please share with friends as well :)

wow. awesome summary,

@UnfoldDataScience

Жыл бұрын

Glad you liked it!

Nice, super Duper, you are awesome boss

@UnfoldDataScience

7 ай бұрын

Thanks Mahendra

Helped with understanding logistic regression!

very well detailed great content

@UnfoldDataScience

Жыл бұрын

Much appreciated! your comments motivate me.

Very good explanation Aman🎉

@UnfoldDataScience

10 ай бұрын

My pleasure

Good -- Er. Sunil Pedgaonkar, Consulting Engineer (IT)

Great lecture.... 👌👍

@UnfoldDataScience

Жыл бұрын

Thanks a lot

Need your help understanding a scenario where the OA and kappa coefficient are more or less similar on test and validation datasets when using only one independent variable. Here, the validation dataset meaning completely a new dataset in time and space. Train and Test belong to same time and space. Can you explain to me why this is? I appreciate your help on this. When run with a few more variables, this issue is not showing up. For more understanding, Train and Test are from same day satellite image for city A. Validation dataset is from different day satellite image for City B.

awesome 👌

Hi This video is very informative. thanks you so much.. Can you suggest which algorithm is best suited for below use case "scan the kuberbetes pods for application exceptions and feed the algorithm.. let the model store this info along with impact assessment, to raise the alerts only for critical exception"

@UnfoldDataScience

10 ай бұрын

Thanks For watching.yoy can research on isolation forest or random cut forest

Great video!!

@UnfoldDataScience

10 ай бұрын

Thanks for the visit

What is the Purpose of Final Accounts in any Business?? kzread.infoMHz-Jwgo14s?feature=share #FreeEducation

@UnfoldDataScience

10 ай бұрын

Not relevant

this is very helpful video those who want to gain basic knowledge in ML algos but uh did a mistake in Gradient boost calculation in 23:44 . once check it

@UnfoldDataScience

7 ай бұрын

Thanks a lot for watching and feedback.

@achunaryan3418

3 ай бұрын

It's 122

Explained well

Great. please keep up with e-commerce projects in ML practices. Ty

@UnfoldDataScience

9 ай бұрын

Sure , many thanks for appreciation and suggestion.

Machine learning is nothing but learning pattern from a data using an algorithm. An algorithm is set of steps that are executed in an order to reach final solution.

@UnfoldDataScience

Жыл бұрын

Yes, nicely said

@13soulmate13

Жыл бұрын

​@@UnfoldDataSciencebrother resume shortlist hi nhi hora what can i do i am fresher

@UnfoldDataScience

10 ай бұрын

put good projects and keywords based on JD

@geethakiran8122

9 ай бұрын

R u data scientist

@comandozz123

8 ай бұрын

​@@13soulmate13I went w

Very helpful !

@UnfoldDataScience

10 ай бұрын

Glad it was helpful!

Exceptional stuff.

@UnfoldDataScience

9 ай бұрын

Thank you. Pls share with friends as well.

super useful

Thank you 🎉❤ excellent 👍

@UnfoldDataScience

10 ай бұрын

Welcome 😊

Great session . Can you sir make a video regarding project where you apply all ml algorithm and also do model development and same for deep learning

@UnfoldDataScience

Жыл бұрын

Noted

Really big thank you❤

@UnfoldDataScience

10 ай бұрын

You're welcome 😊

Excellent explanation

@UnfoldDataScience

10 ай бұрын

Glad it was helpful!

Very good Video. As a beginner i understood the basics well. Definitely will recommend to my students. Thankyou for the effort you put into the Presentation.

@UnfoldDataScience

5 ай бұрын

So nice of you. Please share with friends as well. Welcome to Unfold data science family :)

Thanks a lot for this. Very helpful! I was a bit lost at a few points such as Ada Boost & Log Regression. But that's efficient for a starter. 👍👍👍

@UnfoldDataScience

7 ай бұрын

Thanks for watching

زبردست ❤

Helpful tutorial (y)

this is best I have seen ever

@UnfoldDataScience

Жыл бұрын

Thanks deelip. Pls share with friends.

Thanks for the video ,pls cover Naive bayes ,XGboost catboost dbscan hierarchical clustering in one hour video and all stats in 2 to 3 videos also dl nlp imp concepts in 1 hour length video s

@UnfoldDataScience

Жыл бұрын

Noted

@rafibasha4145

Жыл бұрын

@@UnfoldDataScience thanks

Great video! Decision Tree can also do classification as well, right?

@UnfoldDataScience

2 ай бұрын

Yes it can. Thank you

Thank you so much sir

@UnfoldDataScience

Жыл бұрын

Most welcome

Thank you sir

@UnfoldDataScience

Жыл бұрын

Welcome

Both the decision tree and Random Forest also can be used in classification tasks. Therefore they cannot be limited only to regression tasks.

@UnfoldDataScience

Күн бұрын

Yes absolutely. I took that in regression category to have variation of regression models.thanks for message

Hi, do you have implementation examples for all these, i think decision tree, random forest available but others not, also you cover support vector, k nearest etc..

@UnfoldDataScience

5 ай бұрын

Definitely, thanks for suggesting, will do.

Liked it even before watching

@UnfoldDataScience

9 ай бұрын

Thanks Shubham.

Thank you

@UnfoldDataScience

10 ай бұрын

You are welcome

nice one

@UnfoldDataScience

10 ай бұрын

Thanks Atul.

please explain base model in adaBoost . It sounds similar to M1 model. is it different from M1 model. if it is so, what is the difference. Kindly explain. But great explanation.Keep up the good work sir. God bless

@UnfoldDataScience

7 ай бұрын

Sure thank you

Brother, Please help to get clarity for the Below Questions, First Question : check whether The average monthly hours of a employee having 2 years experience is 167. What will be the Null and Alternative Hypothesis that I should Consider?

@UnfoldDataScience

10 ай бұрын

Can be framed in multiple ways

@uditi_

10 ай бұрын

null can be “…it is 167” and alternative can be it is not, then you can prove or disprove null hypothesis

Really its amazing. Do you have any udemy course?

@UnfoldDataScience

11 ай бұрын

Thanks Robert, please check here www.unfolddatascience.com

Amazing video will let you know if I pass the interview 😂🙏🏼

@UnfoldDataScience

8 ай бұрын

Cheers, good luck

Thank you sir , cannu pls tell how to implement these in python

@UnfoldDataScience

6 ай бұрын

HI Pankaj, if you go to playlist section, you will find all the implementation as part of different playlists :)

At Starting you said wrong because random Forest and decision tree can be used for both

@UnfoldDataScience

11 ай бұрын

Not sure which part of the video I said it. Both can be used for classification and regression scenarios.

You're making education engaging and accessible for everyone. #NurserytoVarsity

@UnfoldDataScience

7 ай бұрын

So nice of you. Please share with friends.

Can u make the videos regarding outliers and scaling, missing values affects on the different algorithms.

@UnfoldDataScience

Жыл бұрын

Sure. please check this video meanwhile kzread.info/dash/bejne/X6l3mZuOhLLflZs.html

hi good morning

Aman bhaiya I am too from CEB bhubaneswar. I hope you remember

@UnfoldDataScience

8 ай бұрын

Hi Ashis, good that you messaged, yes I do. Please mail me at unfolddatascience@gmail.com

@AshisRaj

8 ай бұрын

@@UnfoldDataScience bhaiya "please" KAHE bol rahe hai. Acha lga apka growth dekh kar😀

what is beta in logistic regression ?

@UnfoldDataScience

Жыл бұрын

coefiicients

Are 9 and 10 not classification problems as well?

@UnfoldDataScience

9 ай бұрын

we can debate

do you have full video links for Machine Learning

@UnfoldDataScience

9 ай бұрын

Yes - please go to playlist and you will find separate playlist for all areas of ML

Sir eatna Ml sufficient he kya data science ke liy sir

@UnfoldDataScience

Жыл бұрын

No, this is just for quick revision. please see description links to go into complete knowledge

@omkarbelpatre5

Жыл бұрын

@@UnfoldDataScience ok thank you so much

Do you have PPT slide?

@UnfoldDataScience

8 ай бұрын

Thanks a lot.

Decision tree seems like a moving average. How is it different from moving average?

@UnfoldDataScience

9 ай бұрын

Decision tree is not moving average, it's about finding best split.

Can you suggest some Hindi data science and machine learning channel

@UnfoldDataScience

9 ай бұрын

www.unfolddatascience.com hindi courrse available

bagging boosting kis mein hota hai? kya hota hai?

@UnfoldDataScience

11 ай бұрын

Ensemble learning

Tomorrow I hav interview, so I m here

@UnfoldDataScience

8 ай бұрын

Wish you all the best

can you please share the notes in the description of this video, hit like if you guys also want notes

@UnfoldDataScience

10 ай бұрын

I can save notes and share if many people want it.

7:59

I didint heard ABT ada boost algorithm in ML

@UnfoldDataScience

9 ай бұрын

:)