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

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

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

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

Nicely explained! Very helpful Comment from : Me Tube

did he mention black guys while teaching SVM? Comment from : Nikhil Chavan

Amazing video will let you know if I pass the interview 😂🙏🏼 Comment from : PRAMETHICINE

Do you have PPT slide? Comment from : Mohsen Houshmand

Sir, Ultimate Teaching Style, Sequence of arranging Topics are highly help full to us Great Comment from : Vasu Tke

That's very well explained highly appreciate the content ❤❤❤ Comment from : Data Science Wallah

زبردست ❤ Comment from : inayat shah

Tomorrow I hav interview, so I m here Comment from : Remrem

This is a very good video for revision of ml models Comment from : Isha Nagpurkar

very pretty and clear explanation stay tuned and thanks very much buddy Comment from : chandru s m

Liked it even before watching Comment from : stories shubham

This is the best explanation till I saw😊 Comment from : pawan kumarjm

Decision tree seems like a moving average How is it different from moving average? Comment from : azhrhasan

Helpful tutorial (y) Comment from : Programming P++

Are 9 and 10 not classification problems as well? Comment from : Joachim Guth

In linear regression you draw the best fit line How we can draw the best fit line what are there points? Or it can pass through origin with straight line? Please explain how we can draw best fit line Comment from : Asif Ali

Great please keep up with e-commerce projects in ML practices Ty Comment from : Azizul maqsud

Good -- Er Sunil Pedgaonkar, Consulting Engineer (IT) Comment from : Er Sunil Pedgaonkar; Consulting Engineer;India

So Easy to Understand all the concepts of ML Thank you for this Comment from : naveen arun kumar srinivasan

Very important, I need to watch it again and again Comment from : tadesse hailu

Thank you Very nicely explained Kudos to you Keep-up the good work Comment from : Vikas Verma

Thank you for the beautiful presentation Could you please give an example using spatial data Comment from : Rakiat Haruna

Exceptional stuff Comment from : Mark Lodhi

Can you suggest some Hindi data science and machine learning channel Comment from : Asif Ali

do you have full video links for Machine Learning Comment from : Vinodh Vinny Hawaii USA Telugu Vlogs

I didint heard ABT ada boost algorithm in ML Comment from : Ashwini Patil

Great video!! Comment from : Kenneth Stephani

Wish this kind of tutorial 5 years ago But it’s not too late Simply one the best Comment from : vamsi vegi

Great session and well explained Thank you sir Please create more videos to explore more Comment from : Ajay Kumar Gupta

Thank you Comment from : Aaryashree

Thank u so much brother brI am new subscriber of u r channelbrAfter seeing ur videos, i thought that i got some support in Learning of MLbrUr videos are in very simple EnglishbrThank you brother Comment from : Kiranmai Petla

HibrThis video is very informative thanks you so much brCan you suggest which algorithm is best suited for below use case br"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" Comment from : Dhanvika_Vlogs

nice one Comment from : atul kumar joshi

All the prerequisites I was hoping for was covered and explained clearly Thank You sir ! Comment from : Dheena Dhayalan

can you please share the notes in the description of this video, hit like if you guys also want notes Comment from : 20I3071_Anupam_ Pandey

Brother, Please help to get clarity for the Below Questions,brbrFirst Question : brbrcheck whether The average monthly hours of a employee having 2 years experience is 167brbrWhat will be the Null and Alternative Hypothesis that I should Consider? Comment from : Ratheesh M Suresh

Really big thank you❤ Comment from : Khanyi Jiyane

Very good explanation Aman🎉 Comment from : Ganesh : Subramanian

bagging boosting kis mein hota hai? kya hota hai? Comment from : A

Really its amazing Do you have any udemy course? Comment from : Robot Dream

Best Video for a quick introduction/refresher on ML Algorithms Kudos! Comment from : Kamaleshwaran Sivalingam

Great informative video Thank you for sharing your knowledge Comment from : Sachin More

ML: L1st Comment from : Md Faizan Shakeel

Very helpful ! Comment from : Talentz Unlimited

At Starting you said wrong because random Forest and decision tree can be used for both Comment from : manav patel

Terms I stated knows by only professionals already knows about what u mame Comment from : manoj pandey

In your vid u explaining what is ML But u r using terms which no body know like regression/classification/usv Comment from : manoj pandey

Don't make video if u don't know how to teach Comment from : manoj pandey

Base prediction here 80,how came,?? Comment from : Jenny

Thank you 🎉❤ excellent 👍 Comment from : Satish B

what is beta in logistic regressionbr? Comment from : Nainesh Khanjire

very well detailed great content Comment from : Kanorio Purity

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 Comment from : Discretemath guru

Thanks, this came really handy 1 day before interview 😁👍 Comment from : Mudit Mathur

Excellent explanation Comment from : Anjalam Mahan

best video for quick revision !! tq Aman ' Comment from : Chandra Sekhar

Thank U Sir Clearly got an idea on all algorithms in very short time ☺️ Comment from : Explore with SKP

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 Comment from : rafi basha

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 Comment from : SHIVA GUPTA

wow awesome summary, Comment from : spicytuna08

It was indeed a great session, thanks Comment from : Pradeep Paladi

this is best I have seen ever Comment from : Dropella

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 Comment from : Its Me

Thank you sir Comment from : S Megala

Can u make the videos regarding outliers and scaling, missing values affects on the different algorithms Comment from : SANJAY B T

Thanks for thisquite a critical video for everyone who's having interview (s) lined up Comment from : debankan sen

Sir eatna Ml sufficient he kya data science ke liy sir Comment from : Omkar Belpatre

Great lecture 👌👍 Comment from : Kishor Rawat

Thank you so much sir Comment from : Omkar Belpatre

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