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

Unfold Data Science
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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.
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:
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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
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Комментарии : 204   
@naveenarunkumar95
@naveenarunkumar95 9 месяцев назад
So Easy to Understand all the concepts of ML Thank you for this
@swethamadhavarapu3018
@swethamadhavarapu3018 Месяц назад
Great video, simple easy to understand explanation for beginners. Thank you!
@dheenadhayalan423
@dheenadhayalan423 10 месяцев назад
All the prerequisites I was hoping for was covered and explained clearly. Thank You sir !
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Thanks a lot
@muditmathur465
@muditmathur465 Год назад
Thanks, this came really handy 1 day before interview 😁👍
@UnfoldDataScience
@UnfoldDataScience Год назад
That is the purpose of this video,🙂
@RakiatHaruna-cx8jh
@RakiatHaruna-cx8jh 9 месяцев назад
Thank you for the beautiful presentation. Could you please give an example using spatial data.
@hgowda11
@hgowda11 5 дней назад
This is an excellent and time-efficient video with a great explanation.
@katamreddiprasad418
@katamreddiprasad418 7 месяцев назад
Very informative. Thank u...
@pritus9537
@pritus9537 2 месяца назад
Very simple and effective method of teaching all algorithms
@tadhailu
@tadhailu 9 месяцев назад
Very important, I need to watch it again and again.
@kamaleshwaran06
@kamaleshwaran06 11 месяцев назад
Best Video for a quick introduction/refresher on ML Algorithms. Kudos!
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Glad it was helpful!
@sukumarane2302
@sukumarane2302 2 месяца назад
Good presentation . Thanks 👍
@explorewithskp1237
@explorewithskp1237 Год назад
Thank U Sir . Clearly got an idea on all algorithms in very short time ☺️
@UnfoldDataScience
@UnfoldDataScience Год назад
Most welcome 😊
@sureshkumar-cn5jr
@sureshkumar-cn5jr 4 месяца назад
Useful content Aman! Thanks for your efforts to teach complicated but important concepts in M L
@VinayAggarwal
@VinayAggarwal Год назад
This is super helpful. Thanks for putting this together. ❤ Can these all work on more then 2D data ?
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Yes Vinay. Thanks
@atiqrehman8435
@atiqrehman8435 5 месяцев назад
True that
@Latif127
@Latif127 5 месяцев назад
It looked good to me, thank you.
@Er.Sunil.Pedgaonkar
@Er.Sunil.Pedgaonkar 9 месяцев назад
Good -- Er. Sunil Pedgaonkar, Consulting Engineer (IT)
@satyagarapati3611
@satyagarapati3611 Месяц назад
Great Aman!! Wonderful explanation ❤
@buttterflygirl
@buttterflygirl 7 месяцев назад
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.
@lakshmanthota8902
@lakshmanthota8902 18 дней назад
Very handy for a quick recall
@surajitchanda1975
@surajitchanda1975 Месяц назад
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
@VikasVerma-xf6hb 9 месяцев назад
Thank you. Very nicely explained. Kudos to you. Keep-up the good work.
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
Thanks Vikas. Apne friends group me bhi share kar dijie.
@anishvarughese9517
@anishvarughese9517 3 месяца назад
Explained well
@NithishKumar-ng7dp
@NithishKumar-ng7dp 6 месяцев назад
Good Explanation Sir
@leonine291
@leonine291 8 месяцев назад
زبردست ❤
@ajaykumargupta5862
@ajaykumargupta5862 10 месяцев назад
Great session and well explained. Thank you sir. Please create more videos to explore more.
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Thank you, I will
@itsme1674
@itsme1674 Год назад
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
@UnfoldDataScience Год назад
Yes, nicely said
@13soulmate13
@13soulmate13 Год назад
​@@UnfoldDataSciencebrother resume shortlist hi nhi hora what can i do i am fresher
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
put good projects and keywords based on JD
@geethakiran8122
@geethakiran8122 9 месяцев назад
R u data scientist
@comandozz123
@comandozz123 8 месяцев назад
​@@13soulmate13I went w
@sachinmore8938
@sachinmore8938 11 месяцев назад
Great informative video. Thank you for sharing your knowledge.
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Glad it was helpful!
@SethiGaneswar
@SethiGaneswar 7 месяцев назад
Great presentation and i think this is one of the best videos on simply making understandable to the concepts. thanks for the video
@UnfoldDataScience
@UnfoldDataScience 7 месяцев назад
Glad it was helpful!
@chandrasekhar_m
@chandrasekhar_m Год назад
best video for quick revision !! tq ..Aman '
@UnfoldDataScience
@UnfoldDataScience Год назад
Thanks Chandra.
@Srinivascheekati681
@Srinivascheekati681 Год назад
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
@UnfoldDataScience 10 месяцев назад
Thanks Srini, welcome to channel
@jayalekshmik3706
@jayalekshmik3706 6 месяцев назад
Yes I too would like to know what entails in a ML path
@dvabhinav31
@dvabhinav31 Месяц назад
Helped with understanding logistic regression!
@vamsivegi
@vamsivegi 9 месяцев назад
Wish this kind of tutorial 5 years ago. But it’s not too late. Simply one the best.
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
Thanks Vamsi.
@dd1278
@dd1278 Год назад
Thanks for this..quite a critical video for everyone who's having interview (s) lined up.
@UnfoldDataScience
@UnfoldDataScience Год назад
Thanks Deb.
@user-lq3op3rd2e
@user-lq3op3rd2e 8 месяцев назад
very pretty and clear explanation .stay tuned and thanks very much buddy
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Welcome.
@sircosm
@sircosm 8 месяцев назад
Nicely explained! Very helpful.
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Thanks for watching. Keep learning
@DataScienceWallah
@DataScienceWallah 8 месяцев назад
That's very well explained highly appreciate the content ❤❤❤
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Thanks again, please share with friends as well.
@pradeeppaladi2852
@pradeeppaladi2852 Год назад
It was indeed a great session, thanks
@UnfoldDataScience
@UnfoldDataScience Год назад
Thank you Pradeep. Pls share with friends.
@pradeeppaladi2852
@pradeeppaladi2852 Год назад
@@UnfoldDataScience Already did
@bushraaijaz2125
@bushraaijaz2125 8 месяцев назад
Helpful tutorial (y)
@VISHNUPRASADSAKHAMURI
@VISHNUPRASADSAKHAMURI 10 месяцев назад
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
@UnfoldDataScience 10 месяцев назад
Thanks For watching.yoy can research on isolation forest or random cut forest
@hinduputra9623
@hinduputra9623 7 месяцев назад
Very Informative video, thank you
@UnfoldDataScience
@UnfoldDataScience 7 месяцев назад
Thanks a lot.
@vasutke1187
@vasutke1187 8 месяцев назад
Sir, Ultimate Teaching Style, Sequence of arranging Topics are highly help full to us. Great
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Thanks a lot. Please share with friends also.
@karanalang1573
@karanalang1573 7 месяцев назад
thanks for this very helpful video !
@UnfoldDataScience
@UnfoldDataScience 7 месяцев назад
Glad it was helpful!
@ishanagpurkar
@ishanagpurkar 8 месяцев назад
This is a very good video for revision of ml models.
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Thanks Isha. Please share with friends as well
@pawankumarjm
@pawankumarjm 8 месяцев назад
This is the best explanation till I saw..😊
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Thanks Pawan. Please share with friends as well :)
@shivagupta2052
@shivagupta2052 Год назад
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
@UnfoldDataScience Год назад
Noted
@kanoriopurity4374
@kanoriopurity4374 Год назад
very well detailed great content
@UnfoldDataScience
@UnfoldDataScience Год назад
Much appreciated! your comments motivate me.
@satishb9975
@satishb9975 Год назад
Thank you 🎉❤ excellent 👍
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Welcome 😊
@happylearning-gp
@happylearning-gp 7 месяцев назад
Excellent, Thank you very much
@UnfoldDataScience
@UnfoldDataScience 7 месяцев назад
Thank you
@Kiranmai30
@Kiranmai30 10 месяцев назад
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
@UnfoldDataScience 10 месяцев назад
Thanks a lot.
@Learn_IT_with_Azizul
@Learn_IT_with_Azizul 9 месяцев назад
Great. please keep up with e-commerce projects in ML practices. Ty
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
Sure , many thanks for appreciation and suggestion.
@spicytuna08
@spicytuna08 Год назад
wow. awesome summary,
@UnfoldDataScience
@UnfoldDataScience Год назад
Glad you liked it!
@user-jh4wo6ok4s
@user-jh4wo6ok4s 7 месяцев назад
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
@UnfoldDataScience 7 месяцев назад
Thanks for watching
@Marklodhi420
@Marklodhi420 9 месяцев назад
Exceptional stuff.
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
Thank you. Pls share with friends as well.
@SuperMoorthy
@SuperMoorthy 2 месяца назад
Good, i am first time watching, very understandable.
@mahendrachauhan63
@mahendrachauhan63 7 месяцев назад
Nice, super Duper, you are awesome boss
@UnfoldDataScience
@UnfoldDataScience 7 месяцев назад
Thanks Mahendra
@Jordi5720
@Jordi5720 3 месяца назад
super useful
@masoudmirzakhanloo8059
@masoudmirzakhanloo8059 6 месяцев назад
awesome 👌
@rafibasha4145
@rafibasha4145 Год назад
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
@UnfoldDataScience Год назад
Noted
@rafibasha4145
@rafibasha4145 Год назад
@@UnfoldDataScience thanks
@rajpandim
@rajpandim Год назад
Excellent explanation
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Glad it was helpful!
@user-oo4ml5rn7y
@user-oo4ml5rn7y 5 месяцев назад
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
@UnfoldDataScience 5 месяцев назад
So nice of you. Please share with friends as well. Welcome to Unfold data science family :)
@khanyijiyane1585
@khanyijiyane1585 10 месяцев назад
Really big thank you❤
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
You're welcome 😊
@kishorrawat8083
@kishorrawat8083 Год назад
Great lecture.... 👌👍
@UnfoldDataScience
@UnfoldDataScience Год назад
Thanks a lot
@smegala3815
@smegala3815 Год назад
Thank you sir
@UnfoldDataScience
@UnfoldDataScience Год назад
Welcome
@kennethstephani692
@kennethstephani692 9 месяцев назад
Great video!!
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
Thanks for the visit
@user-vo9kh4zd3f
@user-vo9kh4zd3f 7 месяцев назад
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
@UnfoldDataScience 7 месяцев назад
Thanks a lot for watching and feedback.
@achunaryan3418
@achunaryan3418 3 месяца назад
It's 122
@Dropella
@Dropella Год назад
this is best I have seen ever
@UnfoldDataScience
@UnfoldDataScience Год назад
Thanks deelip. Pls share with friends.
@omkarbelpatre5
@omkarbelpatre5 Год назад
Thank you so much sir
@UnfoldDataScience
@UnfoldDataScience Год назад
Most welcome
@Griffindor21
@Griffindor21 Месяц назад
Great video! Decision Tree can also do classification as well, right?
@UnfoldDataScience
@UnfoldDataScience Месяц назад
Yes it can. Thank you
@talentzunlimited1398
@talentzunlimited1398 11 месяцев назад
Very helpful !
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Glad it was helpful!
@ganeshsubramanian6217
@ganeshsubramanian6217 10 месяцев назад
Very good explanation Aman🎉
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
My pleasure
@storiesshubham4145
@storiesshubham4145 8 месяцев назад
Liked it even before watching
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Thanks Shubham.
@ratheeshmsuresh7368
@ratheeshmsuresh7368 10 месяцев назад
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
@UnfoldDataScience 10 месяцев назад
Can be framed in multiple ways
@uditi_
@uditi_ 9 месяцев назад
null can be “…it is 167” and alternative can be it is not, then you can prove or disprove null hypothesis
@raghuyadav1406
@raghuyadav1406 5 месяцев назад
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
@UnfoldDataScience 5 месяцев назад
Definitely, thanks for suggesting, will do.
@thelife1919
@thelife1919 10 месяцев назад
Thank you
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
You are welcome
@lifeisbeautiful1111
@lifeisbeautiful1111 7 месяцев назад
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
@UnfoldDataScience 7 месяцев назад
Sure thank you
@bushraaijaz2125
@bushraaijaz2125 8 месяцев назад
Seven ML Classifiers with python using colab: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-1c8Pi0rh-oQ.html
@sanjaybt1475
@sanjaybt1475 Год назад
Can u make the videos regarding outliers and scaling, missing values affects on the different algorithms.
@UnfoldDataScience
@UnfoldDataScience Год назад
Sure. please check this video meanwhile ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE--uC79UTOye8.html
@pramethicine9328
@pramethicine9328 8 месяцев назад
Amazing video will let you know if I pass the interview 😂🙏🏼
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Cheers, good luck
@CodeWonders_
@CodeWonders_ 11 месяцев назад
At Starting you said wrong because random Forest and decision tree can be used for both
@UnfoldDataScience
@UnfoldDataScience 11 месяцев назад
Not sure which part of the video I said it. Both can be used for classification and regression scenarios.
@robotdream8355
@robotdream8355 11 месяцев назад
Really its amazing. Do you have any udemy course?
@UnfoldDataScience
@UnfoldDataScience 11 месяцев назад
Thanks Robert, please check here www.unfolddatascience.com
@pankajjoshi8292
@pankajjoshi8292 6 месяцев назад
Thank you sir , cannu pls tell how to implement these in python
@UnfoldDataScience
@UnfoldDataScience 6 месяцев назад
HI Pankaj, if you go to playlist section, you will find all the implementation as part of different playlists :)
@naineshkhanjire
@naineshkhanjire Год назад
what is beta in logistic regression ?
@UnfoldDataScience
@UnfoldDataScience Год назад
coefiicients
@NurserytoVarsity
@NurserytoVarsity 6 месяцев назад
You're making education engaging and accessible for everyone. #NurserytoVarsity
@UnfoldDataScience
@UnfoldDataScience 6 месяцев назад
So nice of you. Please share with friends.
@atulkumarjoshi4773
@atulkumarjoshi4773 10 месяцев назад
nice one
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Thanks Atul.
@azhrhasan
@azhrhasan 8 месяцев назад
Decision tree seems like a moving average. How is it different from moving average?
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Decision tree is not moving average, it's about finding best split.
@TeluguAbbai802
@TeluguAbbai802 9 месяцев назад
do you have full video links for Machine Learning
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
Yes - please go to playlist and you will find separate playlist for all areas of ML
@joachimguth6226
@joachimguth6226 9 месяцев назад
Are 9 and 10 not classification problems as well?
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
we can debate
@houshym
@houshym 8 месяцев назад
Do you have PPT slide?
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Thanks a lot.
@AsifAli-ro2vo
@AsifAli-ro2vo 9 месяцев назад
Can you suggest some Hindi data science and machine learning channel
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
www.unfolddatascience.com hindi courrse available
@AshisRaj
@AshisRaj 7 месяцев назад
Aman bhaiya I am too from CEB bhubaneswar. I hope you remember
@UnfoldDataScience
@UnfoldDataScience 7 месяцев назад
Hi Ashis, good that you messaged, yes I do. Please mail me at unfolddatascience@gmail.com
@AshisRaj
@AshisRaj 7 месяцев назад
@@UnfoldDataScience bhaiya "please" KAHE bol rahe hai. Acha lga apka growth dekh kar😀
@ashwinipatil1231
@ashwinipatil1231 9 месяцев назад
I didint heard ABT ada boost algorithm in ML
@UnfoldDataScience
@UnfoldDataScience 9 месяцев назад
:)
@user-rc2uc1kv6w
@user-rc2uc1kv6w 10 месяцев назад
bagging boosting kis mein hota hai? kya hota hai?
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Ensemble learning
@omkarbelpatre5
@omkarbelpatre5 Год назад
Sir eatna Ml sufficient he kya data science ke liy sir
@UnfoldDataScience
@UnfoldDataScience Год назад
No, this is just for quick revision. please see description links to go into complete knowledge
@omkarbelpatre5
@omkarbelpatre5 Год назад
@@UnfoldDataScience ok thank you so much
@surajitchanda1975
@surajitchanda1975 Месяц назад
hi good morning
@aidanthompson5053
@aidanthompson5053 6 месяцев назад
7:59
@I_Anupam_Pandey
@I_Anupam_Pandey 10 месяцев назад
can you please share the notes in the description of this video, hit like if you guys also want notes
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
I can save notes and share if many people want it.
@ani1nonly
@ani1nonly Год назад
Terms I stated knows by only professionals already knows about what u mame
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Thanks for watching.
@remrem6681
@remrem6681 8 месяцев назад
Tomorrow I hav interview, so I m here
@UnfoldDataScience
@UnfoldDataScience 8 месяцев назад
Wish you all the best
@ani1nonly
@ani1nonly Год назад
In your vid u explaining what is ML But u r using terms which no body know like regression/classification/usv
@UnfoldDataScience
@UnfoldDataScience 11 месяцев назад
Thanks for feedback Manoj. will take care
@jenny7533
@jenny7533 Год назад
Base prediction here 80,how came,??
@UnfoldDataScience
@UnfoldDataScience 10 месяцев назад
Which part?
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