10 ML algorithms in 45 minutes | machine learning algorithms for data science

10 ML algorithms in 45 minutes | machine learning algorithms for data science | machine learning

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10 ML algorithms in 45 minutes | machine learning algorithms for data science | machine learning
#machinelearning #datascience
Hello ,
My name is Aman and I am a Data Scientist.
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Topics for the video:
10 ML algorithms in 45 minutes
machine learning algorithms for data science
machine learning algorithm interview question and answers
machine learning algorithm in hindi
machine learning algorithm mathematics
machine learning all topics
machine learning algorithm telugu
machine learning algorithm projects
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Predictive Analytics By By Eric Siegel - amzn.to/3nsQftV
Data Science for Business By Foster Provost - amzn.to/3ajN8QZ
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Naked Statistics By Charles Wheelan - amzn.to/3gXLdmp
Practical Statistics for Data Scientist By Peter Bruce - amzn.to/37wL9Y5
Category 4 - Machine Learning:
Introduction to machine learning by Andreas C Muller - amzn.to/3oZ3X7T
The Hundred Page Machine Learning Book by Andriy Burkov - amzn.to/3pdqCxJ
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Пікірлер: 209

@naveenarunkumar95 10 ай бұрын

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

@muditmathur465 Жыл бұрын

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

@UnfoldDataScience Жыл бұрын

That is the purpose of this video,🙂

@swethamadhavarapu3018 3 ай бұрын

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

@dheenadhayalan423 11 ай бұрын

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

@UnfoldDataScience 11 ай бұрын

Thanks a lot

@katamreddiprasad418 9 ай бұрын

Very informative. Thank u...

@hgowda11 Ай бұрын

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

@pritus9537 3 ай бұрын

Very simple and effective method of teaching all algorithms

@mahmoudshanshoury5643 Ай бұрын

Thank you for the beautiful presentation.

@sukumarane2302 3 ай бұрын

Good presentation . Thanks 👍

@tadhailu 10 ай бұрын

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

@RakiatHaruna-cx8jh 10 ай бұрын

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

@Er.Sunil.Pedgaonkar 10 ай бұрын

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

@Latif127 7 ай бұрын

It looked good to me, thank you.

@itsme1674 Жыл бұрын

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 11 ай бұрын

put good projects and keywords based on JD

@geethakiran8122 10 ай бұрын

R u data scientist

@comandozz123 9 ай бұрын

@@13soulmate13I went w

@surajitchanda1975 3 ай бұрын

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

@VikasVerma-xf6hb 10 ай бұрын

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

@UnfoldDataScience 10 ай бұрын

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

@chandrasekhar_m Жыл бұрын

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

@UnfoldDataScience Жыл бұрын

Thanks Chandra.

@lakshmanthota8902 2 ай бұрын

Very handy for a quick recall

@sureshkumar-cn5jr 6 ай бұрын

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

@kamaleshwaran06 Жыл бұрын

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

@UnfoldDataScience 11 ай бұрын

Glad it was helpful!

@NithishKumar-ng7dp 7 ай бұрын

Good Explanation Sir

@vamsivegi 11 ай бұрын

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

@UnfoldDataScience 11 ай бұрын

Thanks Vamsi.

@researchhub2727 16 күн бұрын

Excellent sir 🎉

@satyagarapati3611 2 ай бұрын

Great Aman!! Wonderful explanation ❤

@user-lq3op3rd2e 10 ай бұрын

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

@UnfoldDataScience 10 ай бұрын

Welcome.

@Srinivascheekati681 Жыл бұрын

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 11 ай бұрын

Thanks Srini, welcome to channel

@jayalekshmik3706 8 ай бұрын

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

@Ashish_Shinde9623 8 ай бұрын

Very Informative video, thank you

@UnfoldDataScience 8 ай бұрын

Thanks a lot.

@sircosm 9 ай бұрын

Nicely explained! Very helpful.

@UnfoldDataScience 9 ай бұрын

Thanks for watching. Keep learning

@explorewithskp1237 Жыл бұрын

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

@UnfoldDataScience Жыл бұрын

Most welcome 😊

@VinayAggarwal Жыл бұрын

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

@UnfoldDataScience 11 ай бұрын

Yes Vinay. Thanks

@atiqrehman8435 7 ай бұрын

True that

@sachinmore8938 Жыл бұрын

Great informative video. Thank you for sharing your knowledge.

@UnfoldDataScience 11 ай бұрын

Glad it was helpful!

@ishanagpurkar 10 ай бұрын

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

@UnfoldDataScience 10 ай бұрын

Thanks Isha. Please share with friends as well

@anishvarughese9517 4 ай бұрын

Explained well

@leonine291 9 ай бұрын

زبردست ❤

@ajaykumargupta5862 11 ай бұрын

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

@UnfoldDataScience 11 ай бұрын

Thank you, I will

@happylearning-gp 8 ай бұрын

Excellent, Thank you very much

@UnfoldDataScience 8 ай бұрын

Thank you

@dvabhinav31 2 ай бұрын

Helped with understanding logistic regression!

@spicytuna08 Жыл бұрын

wow. awesome summary,

@UnfoldDataScience Жыл бұрын

Glad you liked it!

@masoudmirzakhanloo8059 7 ай бұрын

awesome 👌

@karanalang1573 8 ай бұрын

thanks for this very helpful video !

@UnfoldDataScience 8 ай бұрын

Glad it was helpful!

@Paladipradeep Жыл бұрын

It was indeed a great session, thanks

@UnfoldDataScience Жыл бұрын

Thank you Pradeep. Pls share with friends.

@Paladipradeep Жыл бұрын

@@UnfoldDataScience Already did

@SethiGaneswar 9 ай бұрын

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

@UnfoldDataScience 9 ай бұрын

Glad it was helpful!

@Jordi5720 5 ай бұрын

super useful

@kanoriopurity4374 Жыл бұрын

very well detailed great content

@UnfoldDataScience Жыл бұрын

Much appreciated! your comments motivate me.

@kishorrawat8083 Жыл бұрын

Great lecture.... 👌👍

@UnfoldDataScience Жыл бұрын

Thanks a lot

@dd1278 Жыл бұрын

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

@UnfoldDataScience Жыл бұрын

Thanks Deb.

@pawankumarjm 10 ай бұрын

This is the best explanation till I saw..😊

@UnfoldDataScience 10 ай бұрын

Thanks Pawan. Please share with friends as well :)

@SuperMoorthy 3 ай бұрын

Good, i am first time watching, very understandable.

@DataScienceWallah 9 ай бұрын

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

@UnfoldDataScience 9 ай бұрын

Thanks again, please share with friends as well.

@mahendrachauhan63 8 ай бұрын

Nice, super Duper, you are awesome boss

@UnfoldDataScience 8 ай бұрын

Thanks Mahendra

@Marklodhi420 11 ай бұрын

Exceptional stuff.

@UnfoldDataScience 11 ай бұрын

Thank you. Pls share with friends as well.

@kennethstephani692 11 ай бұрын

Great video!!

@UnfoldDataScience 11 ай бұрын

Thanks for the visit

@vasutke1187 9 ай бұрын

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

@UnfoldDataScience 9 ай бұрын

Thanks a lot. Please share with friends also.

@talentzunlimited1398 Жыл бұрын

Very helpful !

@UnfoldDataScience 11 ай бұрын

Glad it was helpful!

@satishb9975 Жыл бұрын

Thank you 🎉❤ excellent 👍

@UnfoldDataScience 11 ай бұрын

Welcome 😊

@bushraaijaz2125 10 ай бұрын

Seven ML Classifiers with python using colab: kzfaq.info/get/bejne/Z8log8xh186Rn4U.html

@ganeshsubramanian6217 Жыл бұрын

Very good explanation Aman🎉

@UnfoldDataScience Жыл бұрын

My pleasure

@khanyijiyane1585 11 ай бұрын

Really big thank you❤

@UnfoldDataScience 11 ай бұрын

You're welcome 😊

@Kiranmai30 11 ай бұрын

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 11 ай бұрын

Thanks a lot.

@bushraaijaz2125 10 ай бұрын

Helpful tutorial (y)

@Learn_IT_with_Azizul 10 ай бұрын

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

@UnfoldDataScience 10 ай бұрын

Sure , many thanks for appreciation and suggestion.

@Dropella Жыл бұрын

this is best I have seen ever

@UnfoldDataScience Жыл бұрын

Thanks deelip. Pls share with friends.

@rajpandim Жыл бұрын

Excellent explanation

@UnfoldDataScience 11 ай бұрын

Glad it was helpful!

@omkarbelpatre5 Жыл бұрын

Thank you so much sir

@UnfoldDataScience Жыл бұрын

Most welcome

@buttterflygirl 9 ай бұрын

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.

@smegala3815 Жыл бұрын

Thank you sir

@UnfoldDataScience Жыл бұрын

Welcome

@user-jh4wo6ok4s 8 ай бұрын

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 8 ай бұрын

Thanks for watching

@shivagupta2052 Жыл бұрын

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

@VISHNUPRASADSAKHAMURI 11 ай бұрын

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 11 ай бұрын

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

@user-vo9kh4zd3f 8 ай бұрын

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 8 ай бұрын

Thanks a lot for watching and feedback.

@achunaryan3418 4 ай бұрын

It's 122

@storiesshubham4145 10 ай бұрын

Liked it even before watching

@UnfoldDataScience 10 ай бұрын

Thanks Shubham.

@user-oo4ml5rn7y 6 ай бұрын

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 6 ай бұрын

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

@Griffindor21 3 ай бұрын

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

@UnfoldDataScience 3 ай бұрын

Yes it can. Thank you

@noormohammadatapoor3119 Ай бұрын

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

@UnfoldDataScience Ай бұрын

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

@thelife1919 11 ай бұрын

Thank you

@UnfoldDataScience 11 ай бұрын

You are welcome

@rafibasha4145 Жыл бұрын

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

@atulkumarjoshi4773 11 ай бұрын

nice one

@UnfoldDataScience 11 ай бұрын

Thanks Atul.

@ratheeshmsuresh7368 11 ай бұрын

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 11 ай бұрын

Can be framed in multiple ways

@uditi_ 11 ай бұрын

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

@lifeisbeautiful1111 8 ай бұрын

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 8 ай бұрын

Sure thank you

@raghuyadav1406 6 ай бұрын

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 6 ай бұрын

Definitely, thanks for suggesting, will do.

@pramethicine9328 9 ай бұрын

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

@UnfoldDataScience 9 ай бұрын

Cheers, good luck

@robotdream8355 Жыл бұрын

Really its amazing. Do you have any udemy course?

@UnfoldDataScience Жыл бұрын

Thanks Robert, please check here www.unfolddatascience.com

@CodeWonders_ Жыл бұрын

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

@UnfoldDataScience Жыл бұрын

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

@NurserytoVarsity 8 ай бұрын

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

@UnfoldDataScience 8 ай бұрын

So nice of you. Please share with friends.

@sanjaybt1475 Жыл бұрын

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 kzfaq.info/get/bejne/Y9tzapyGubXdlWw.html

@pankajjoshi8292 7 ай бұрын

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

@UnfoldDataScience 7 ай бұрын

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

@naineshkhanjire Жыл бұрын

what is beta in logistic regression ?

@UnfoldDataScience Жыл бұрын

coefiicients

@aidanthompson5053 7 ай бұрын

7:59

@AshisRaj 9 ай бұрын

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

@UnfoldDataScience 9 ай бұрын

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

@AshisRaj 9 ай бұрын

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

@surajitchanda1975 3 ай бұрын

hi good morning

@azhrhasan 10 ай бұрын

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

@UnfoldDataScience 10 ай бұрын

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

@joachimguth6226 10 ай бұрын

Are 9 and 10 not classification problems as well?

@UnfoldDataScience 10 ай бұрын

we can debate

@TeluguAbbai802 11 ай бұрын

do you have full video links for Machine Learning

@UnfoldDataScience 10 ай бұрын

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

@houshym 9 ай бұрын

Do you have PPT slide?

@UnfoldDataScience 9 ай бұрын

Thanks a lot.

@AsifAli-ro2vo 11 ай бұрын

Can you suggest some Hindi data science and machine learning channel

@UnfoldDataScience 10 ай бұрын

www.unfolddatascience.com hindi courrse available

@user-rc2uc1kv6w Жыл бұрын

bagging boosting kis mein hota hai? kya hota hai?

@UnfoldDataScience Жыл бұрын

Ensemble learning

@omkarbelpatre5 Жыл бұрын

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

@I_Anupam_Pandey 11 ай бұрын

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

@UnfoldDataScience 11 ай бұрын

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

@kartiksharma6576 4 ай бұрын

Bro you skip KNN

@ashwinipatil1231 11 ай бұрын

I didint heard ABT ada boost algorithm in ML

@UnfoldDataScience 10 ай бұрын