KZhead

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

Unfold Data Science
2024 ж. 20 Мам.
242 161 Рет қаралды
Жүктеу

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.
All amazing data science courses at most affordable price here: www.unfolddatascience.com
Please find link for all algorithms in detail:
Linear regression : • When To Use Regression...
Logistic Regression : • Understanding Basics o...
Ensemble models : • Introduction to Ensemb...
SVM : • Support vector machine...
Kmeans : • K Means Clustering in ...
Recommendation engine : • Recommendation System ...
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
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
Book recommendation for Data Science:
Category 1 - Must Read For Every Data Scientist:
The Elements of Statistical Learning by Trevor Hastie - amzn.to/37wMo9H
Python Data Science Handbook - amzn.to/31UCScm
Business Statistics By Ken Black - amzn.to/2LObAA5
Hands-On Machine Learning with Scikit Learn, Keras, and TensorFlow by Aurelien Geron - amzn.to/3gV8sO9
Ctaegory 2 - Overall Data Science:
The Art of Data Science By Roger D. Peng - amzn.to/2KD75aD
Predictive Analytics By By Eric Siegel - amzn.to/3nsQftV
Data Science for Business By Foster Provost - amzn.to/3ajN8QZ
Category 3 - Statistics and Mathematics:
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
Category 5 - Programming:
The Pragmatic Programmer by David Thomas - amzn.to/2WqWXVj
Clean Code by Robert C. Martin - amzn.to/3oYOdlt
My Studio Setup:
My Camera : amzn.to/3mwXI9I
My Mic : amzn.to/34phfD0
My Tripod : amzn.to/3r4HeJA
My Ring Light : amzn.to/3gZz00F
Join Facebook group :
facebook.com/groups/41022...
Follow on medium : / amanrai77
Follow on quora: www.quora.com/profile/Aman-Ku...
Follow on twitter : @unfoldds
Get connected on LinkedIn : / aman-kumar-b4881440
Follow on Instagram : unfolddatascience
Watch Introduction to Data Science full playlist here : • Data Science In 15 Min...
Watch python for data science playlist here:
• Python Basics For Data...
Watch statistics and mathematics playlist here :
• Measures of Central Te...
Watch End to End Implementation of a simple machine learning model in Python here:
• How Does Machine Learn...
Learn Ensemble Model, Bagging and Boosting here:
• Introduction to Ensemb...
Build Career in Data Science Playlist:
• Channel updates - Unfo...
Artificial Neural Network and Deep Learning Playlist:
• Intuition behind neura...
Natural langugae Processing playlist:
• Natural Language Proce...
Understanding and building recommendation system:
• Recommendation System ...
Access all my codes here:
drive.google.com/drive/folder...
Have a different question for me? Ask me here : docs.google.com/forms/d/1ccgl...
My Music: www.bensound.com/royalty-free...

Пікірлер

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

    @naveenarunkumar95@naveenarunkumar959 ай бұрын

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

    @tadhailu@tadhailu9 ай бұрын

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

    @muditmathur465@muditmathur465 Жыл бұрын

    • That is the purpose of this video,🙂

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

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

    @swethamadhavarapu3018@swethamadhavarapu30182 ай бұрын

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

    @RakiatHaruna-cx8jh@RakiatHaruna-cx8jh9 ай бұрын

  • Very informative. Thank u...

    @katamreddiprasad418@katamreddiprasad4188 ай бұрын

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

    @dheenadhayalan423@dheenadhayalan42310 ай бұрын

    • Thanks a lot

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

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

    @hgowda11@hgowda119 күн 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.

    @buttterflygirl@buttterflygirl7 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

    @surajitchanda1975@surajitchanda19752 ай бұрын

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

    @kamaleshwaran06@kamaleshwaran0611 ай бұрын

    • Glad it was helpful!

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

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

    @VinayAggarwal@VinayAggarwal Жыл бұрын

    • Yes Vinay. Thanks

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

    • True that

      @atiqrehman8435@atiqrehman84355 ай бұрын

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

    @explorewithskp1237@explorewithskp1237 Жыл бұрын

    • Most welcome 😊

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • Very simple and effective method of teaching all algorithms

    @pritus9537@pritus95372 ай бұрын

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

    @sureshkumar-cn5jr@sureshkumar-cn5jr4 ай 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

    @Srinivascheekati681@Srinivascheekati681 Жыл бұрын

    • Thanks Srini, welcome to channel

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

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

      @jayalekshmik3706@jayalekshmik37066 ай бұрын

  • Good presentation . Thanks 👍

    @sukumarane2302@sukumarane23022 ай бұрын

  • Great Aman!! Wonderful explanation ❤

    @satyagarapati3611@satyagarapati3611Ай бұрын

  • Good Explanation Sir

    @NithishKumar-ng7dp@NithishKumar-ng7dp6 ай бұрын

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

    @Er.Sunil.Pedgaonkar@Er.Sunil.Pedgaonkar9 ай бұрын

  • It looked good to me, thank you.

    @Latif127@Latif1276 ай бұрын

  • زبردست ❤

    @leonine291@leonine2918 ай бұрын

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

    @ajaykumargupta5862@ajaykumargupta586210 ай бұрын

    • Thank you, I will

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

  • Explained well

    @anishvarughese9517@anishvarughese95173 ай бұрын

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

    @VikasVerma-xf6hb@VikasVerma-xf6hb9 ай бұрын

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

      @UnfoldDataScience@UnfoldDataScience9 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

    @SethiGaneswar@SethiGaneswar7 ай бұрын

    • Glad it was helpful!

      @UnfoldDataScience@UnfoldDataScience7 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"

    @VISHNUPRASADSAKHAMURI@VISHNUPRASADSAKHAMURI10 ай бұрын

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

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

  • Helped with understanding logistic regression!

    @dvabhinav31@dvabhinav31Ай 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.

    @itsme1674@itsme1674 Жыл бұрын

    • Yes, nicely said

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

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

      @13soulmate13@13soulmate13 Жыл бұрын

    • put good projects and keywords based on JD

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

    • R u data scientist

      @geethakiran8122@geethakiran81229 ай бұрын

    • ​@@13soulmate13I went w

      @comandozz123@comandozz1238 ай бұрын

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

    @user-lq3op3rd2e@user-lq3op3rd2e9 ай бұрын

    • Welcome.

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

  • Nicely explained! Very helpful.

    @sircosm@sircosm8 ай бұрын

    • Thanks for watching. Keep learning

      @UnfoldDataScience@UnfoldDataScience8 ай бұрын

  • Very handy for a quick recall

    @lakshmanthota8902@lakshmanthota890221 күн бұрын

  • Great informative video. Thank you for sharing your knowledge.

    @sachinmore8938@sachinmore893811 ай бұрын

    • Glad it was helpful!

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

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

    @chandrasekhar_m@chandrasekhar_m Жыл бұрын

    • Thanks Chandra.

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • Helpful tutorial (y)

    @bushraaijaz2125@bushraaijaz21259 ай бұрын

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

    @ishanagpurkar@ishanagpurkar8 ай бұрын

    • Thanks Isha. Please share with friends as well

      @UnfoldDataScience@UnfoldDataScience8 ай бұрын

  • This is the best explanation till I saw..😊

    @pawankumarjm@pawankumarjm9 ай бұрын

    • Thanks Pawan. Please share with friends as well :)

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

  • It was indeed a great session, thanks

    @Paladipradeep@Paladipradeep Жыл бұрын

    • Thank you Pradeep. Pls share with friends.

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

    • @@UnfoldDataScience Already did

      @Paladipradeep@Paladipradeep Жыл бұрын

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

    @dd1278@dd1278 Жыл бұрын

    • Thanks Deb.

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • Very Informative video, thank you

    @hinduputra9623@hinduputra96237 ай бұрын

    • Thanks a lot.

      @UnfoldDataScience@UnfoldDataScience7 ай бұрын

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

    @DataScienceWallah@DataScienceWallah8 ай бұрын

    • Thanks again, please share with friends as well.

      @UnfoldDataScience@UnfoldDataScience8 ай бұрын

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

    @vamsivegi@vamsivegi10 ай бұрын

    • Thanks Vamsi.

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

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

    @vasutke1187@vasutke11878 ай бұрын

    • Thanks a lot. Please share with friends also.

      @UnfoldDataScience@UnfoldDataScience8 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

    @user-vo9kh4zd3f@user-vo9kh4zd3f7 ай бұрын

    • Thanks a lot for watching and feedback.

      @UnfoldDataScience@UnfoldDataScience7 ай бұрын

    • It's 122

      @achunaryan3418@achunaryan34183 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

    @Kiranmai30@Kiranmai3010 ай бұрын

    • Thanks a lot.

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

  • super useful

    @Jordi5720@Jordi57203 ай бұрын

  • awesome 👌

    @masoudmirzakhanloo8059@masoudmirzakhanloo80596 ай 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

    @shivagupta2052@shivagupta2052 Жыл бұрын

    • Noted

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • Exceptional stuff.

    @Marklodhi420@Marklodhi4209 ай бұрын

    • Thank you. Pls share with friends as well.

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

  • Nice, super Duper, you are awesome boss

    @mahendrachauhan63@mahendrachauhan637 ай бұрын

    • Thanks Mahendra

      @UnfoldDataScience@UnfoldDataScience7 ай бұрын

  • wow. awesome summary,

    @spicytuna08@spicytuna08 Жыл бұрын

    • Glad you liked it!

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • very well detailed great content

    @kanoriopurity4374@kanoriopurity4374 Жыл бұрын

    • Much appreciated! your comments motivate me.

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • thanks for this very helpful video !

    @karanalang1573@karanalang15737 ай бұрын

    • Glad it was helpful!

      @UnfoldDataScience@UnfoldDataScience7 ай бұрын

  • Thank you 🎉❤ excellent 👍

    @satishb9975@satishb9975 Жыл бұрын

    • Welcome 😊

      @UnfoldDataScience@UnfoldDataScience10 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. 👍👍👍

    @user-jh4wo6ok4s@user-jh4wo6ok4s7 ай бұрын

    • Thanks for watching

      @UnfoldDataScience@UnfoldDataScience7 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.

    @user-oo4ml5rn7y@user-oo4ml5rn7y5 ай бұрын

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

      @UnfoldDataScience@UnfoldDataScience5 ай бұрын

  • Good, i am first time watching, very understandable.

    @SuperMoorthy@SuperMoorthy2 ай бұрын

  • Great lecture.... 👌👍

    @kishorrawat8083@kishorrawat8083 Жыл бұрын

    • Thanks a lot

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • Excellent, Thank you very much

    @happylearning-gp@happylearning-gp7 ай бұрын

    • Thank you

      @UnfoldDataScience@UnfoldDataScience7 ай бұрын

  • Great video!!

    @kennethstephani692@kennethstephani6929 ай бұрын

    • Thanks for the visit

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

  • Thank you sir

    @smegala3815@smegala3815 Жыл бұрын

    • Welcome

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • Thank you so much sir

    @omkarbelpatre5@omkarbelpatre5 Жыл бұрын

    • Most welcome

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • Really big thank you❤

    @khanyijiyane1585@khanyijiyane158510 ай бұрын

    • You're welcome 😊

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

  • Excellent explanation

    @rajpandim@rajpandim Жыл бұрын

    • Glad it was helpful!

      @UnfoldDataScience@UnfoldDataScience10 ай 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

    @rafibasha4145@rafibasha4145 Жыл бұрын

    • Noted

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

    • @@UnfoldDataScience thanks

      @rafibasha4145@rafibasha4145 Жыл бұрын

  • Very helpful !

    @talentzunlimited1398@talentzunlimited139811 ай бұрын

    • Glad it was helpful!

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

  • this is best I have seen ever

    @Dropella@Dropella Жыл бұрын

    • Thanks deelip. Pls share with friends.

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

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

    @Learn_IT_with_Azizul@Learn_IT_with_Azizul9 ай бұрын

    • Sure , many thanks for appreciation and suggestion.

      @UnfoldDataScience@UnfoldDataScience9 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?

    @ratheeshmsuresh7368@ratheeshmsuresh736810 ай бұрын

    • Can be framed in multiple ways

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

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

      @uditi_@uditi_10 ай бұрын

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

    @Griffindor21@Griffindor21Ай бұрын

    • Yes it can. Thank you

      @UnfoldDataScience@UnfoldDataScienceАй бұрын

  • Very good explanation Aman🎉

    @ganeshsubramanian6217@ganeshsubramanian621710 ай бұрын

    • My pleasure

      @UnfoldDataScience@UnfoldDataScience10 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

    @lifeisbeautiful1111@lifeisbeautiful11117 ай бұрын

    • Sure thank you

      @UnfoldDataScience@UnfoldDataScience7 ай бұрын

  • Liked it even before watching

    @storiesshubham4145@storiesshubham41459 ай бұрын

    • Thanks Shubham.

      @UnfoldDataScience@UnfoldDataScience9 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..

    @raghuyadav1406@raghuyadav14065 ай бұрын

    • Definitely, thanks for suggesting, will do.

      @UnfoldDataScience@UnfoldDataScience5 ай бұрын

  • Thank you

    @thelife1919@thelife191910 ай бұрын

    • You are welcome

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

  • Seven ML Classifiers with python using colab: kzhead.info/sun/ZMdxgM1oqZpjook/bejne.html

    @bushraaijaz2125@bushraaijaz21259 ай бұрын

  • nice one

    @atulkumarjoshi4773@atulkumarjoshi477310 ай бұрын

    • Thanks Atul.

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

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

    @CodeWonders_@CodeWonders_11 ай бұрын

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

      @UnfoldDataScience@UnfoldDataScience11 ай бұрын

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

    @NurserytoVarsity@NurserytoVarsity7 ай бұрын

    • So nice of you. Please share with friends.

      @UnfoldDataScience@UnfoldDataScience7 ай бұрын

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

    @pramethicine9328@pramethicine93288 ай бұрын

    • Cheers, good luck

      @UnfoldDataScience@UnfoldDataScience8 ай бұрын

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

    @sanjaybt1475@sanjaybt1475 Жыл бұрын

    • Sure. please check this video meanwhile kzhead.info/sun/YNl8Z52Ni4GvmHA/bejne.html

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

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

    @pankajjoshi8292@pankajjoshi82926 ай бұрын

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

      @UnfoldDataScience@UnfoldDataScience6 ай бұрын

  • Really its amazing. Do you have any udemy course?

    @robotdream8355@robotdream835511 ай бұрын

    • Thanks Robert, please check here www.unfolddatascience.com

      @UnfoldDataScience@UnfoldDataScience11 ай бұрын

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

    @azhrhasan@azhrhasan9 ай бұрын

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

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

  • what is beta in logistic regression ?

    @naineshkhanjire@naineshkhanjire Жыл бұрын

    • coefiicients

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

  • hi good morning

    @surajitchanda1975@surajitchanda19752 ай бұрын

  • Do you have PPT slide?

    @houshym@houshym8 ай бұрын

    • Thanks a lot.

      @UnfoldDataScience@UnfoldDataScience8 ай бұрын

  • Are 9 and 10 not classification problems as well?

    @joachimguth6226@joachimguth62269 ай бұрын

    • we can debate

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

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

    @AshisRaj@AshisRaj7 ай бұрын

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

      @UnfoldDataScience@UnfoldDataScience7 ай бұрын

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

      @AshisRaj@AshisRaj7 ай бұрын

  • do you have full video links for Machine Learning

    @TeluguAbbai802@TeluguAbbai8029 ай бұрын

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

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

  • Can you suggest some Hindi data science and machine learning channel

    @AsifAli-ro2vo@AsifAli-ro2vo9 ай бұрын

    • www.unfolddatascience.com hindi courrse available

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

  • Sir eatna Ml sufficient he kya data science ke liy sir

    @omkarbelpatre5@omkarbelpatre5 Жыл бұрын

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

      @UnfoldDataScience@UnfoldDataScience Жыл бұрын

    • @@UnfoldDataScience ok thank you so much

      @omkarbelpatre5@omkarbelpatre5 Жыл бұрын

  • 7:59

    @aidanthompson5053@aidanthompson50536 ай бұрын

  • I didint heard ABT ada boost algorithm in ML

    @ashwinipatil1231@ashwinipatil12319 ай бұрын

    • :)

      @UnfoldDataScience@UnfoldDataScience9 ай бұрын

  • bagging boosting kis mein hota hai? kya hota hai?

    @user-rc2uc1kv6w@user-rc2uc1kv6w10 ай бұрын

    • Ensemble learning

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

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

    @I_Anupam_Pandey@I_Anupam_Pandey10 ай бұрын

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

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

  • Terms I stated knows by only professionals already knows about what u mame

    @ani1nonly@ani1nonly Жыл бұрын

    • Thanks for watching.

      @UnfoldDataScience@UnfoldDataScience10 ай бұрын

  • Tomorrow I hav interview, so I m here

    @remrem6681@remrem66818 ай бұрын

    • Wish you all the best

      @UnfoldDataScience@UnfoldDataScience8 ай бұрын

  • In your vid u explaining what is ML But u r using terms which no body know like regression/classification/usv

    @ani1nonly@ani1nonly Жыл бұрын

    • Thanks for feedback Manoj. will take care

      @UnfoldDataScience@UnfoldDataScience11 ай бұрын

  • Bro you skip KNN

    @kartiksharma6576@kartiksharma65763 ай бұрын
KZhead