Machine Learning Algorithm- Which one to choose for your Problem?

Рет қаралды 207,003

5 жыл бұрын

Here is a video which helps you understand which machine learning algorithm you should use for your use case.
You can buy my book of finance with ML
#Whichalgorithmtochooseforyourproblem
amazon url : www.amazon.in/gp/product/1789...

Пікірлер: 247

@nandinidasgupta7781 4 жыл бұрын

This is the only channel i guess who understands what students are expecting to know other than traditional algorithm knowledge.. Thank You so much..

@chandlerdarius6380 2 жыл бұрын

sorry to be offtopic but does any of you know a way to log back into an instagram account?? I was dumb lost my login password. I would love any tricks you can offer me

@hunainaghai3342 Жыл бұрын

Which algorithm did u choose, Nandini?

@shubhpundir2191 Жыл бұрын

@@chandlerdarius6380 this dude 💀💀💀

@srikanththecoolhunk 4 жыл бұрын

You have no idea how useful all your videos were to help me find a job. I cannot thank you enough Sir, please post more.

@varunsagartheegala 3 жыл бұрын

Your videos is a gift to all data science aspirants like me and working professionals too. Thank you for making our learning easy and fun. Please don't stop

@harshj84 4 жыл бұрын

Hi Krish, I really enjoyed your videos. The specialty of your videos are they fill the gap between theory and practical. I have watched tones of other videos, most of them are telling "how to plot the graph" but no one is explaining "how to leverage information from these plots?" Just like this video, we need to use knn as most of the points are overlapping. I would really love to such a great video for other algorithms as well. Not only me, but I believe your subscribers would also love them. Tons of thanks to you.

@anandacharya9919 4 жыл бұрын

This is your best and most important video of all. Thank you 🙏

@izzycrux48 3 жыл бұрын

Thank you Krish for the amount of effort and insights you put into your videos. Really helps a lot🙏❤️👍 May God bless you and keep you well🙏

@MrDeepinaction 5 жыл бұрын

Great video, friend!! Keep up the good work. Need to learn a lot through you.

@chravi511 3 жыл бұрын

Hi Krish, I've been following your channel for most of my learning. The way you explain the things gives a very familiar approach and giving out what is needed in the way everyone can understand. This let me watch any video of yours till the end and learn completely. Happy to learn from you. Thanks

@deepuraju2456 2 жыл бұрын

Hi sir , can u give any idea problem statement for loan approval prediction

@vikasbohra3253 3 жыл бұрын

You are AWESOME Krish not only from knowledge's point of view , but also in explaining the concepts in pretty well manner. Thanks.

@nokiyem521 3 жыл бұрын

Great, this is the video i was looking for to explain the difference from a basic mathematical perspective.

@itybahadur3625 4 жыл бұрын

Excellent video for an initial understanding! Thanks!

@aanalpatel5361 2 жыл бұрын

Most of my questions were answered through this video!! Thank you a ton, sir!!

@thongtech1984 4 жыл бұрын

thanks a lot for this wonderful explanation, Krishna. You are my new hero now :)

@mansiparikh8357 4 жыл бұрын

You have explained in a great manner. Please make more such videos for data science. Very helpful

@ranjaniselvaraj6475 3 жыл бұрын

Good Job! Clearly explained. Thank you so much for this video.

@rohinikalamkar5736 3 жыл бұрын

This is what is required .. thank you so much for sharing this 👍👍 great work

@sankarapandian.selvaraj 4 жыл бұрын

All of your videos have a lot of useful information. Thank you...

@puneettiwari2251 3 жыл бұрын

Great session, Please make an elaborative video on this topic covering all the pros and cons of different algorithms and if possible with codes. Thanks for this session again sir🙏👍👍

@pietart3596 2 жыл бұрын

Thanks for everything you do, your words are very motivating

@akashchoudhuri3932 3 жыл бұрын

Best video till now. Thank you Krish.

@amoghjain Жыл бұрын

Such a practical channel with real world applications! Thankssss!!

@ninjaduck3534 3 жыл бұрын

This was so excellently explained, thank you so much!!

@sambhavmishra1873 11 ай бұрын

Understood it very very clearly ❤ whatever doubts that were arising was getting explained in the next second.

@abhinav02111987 4 жыл бұрын

You saved my day Krish. Thank you.

@ankitaB11 3 жыл бұрын

Most important video. Explanation is just amazing.

@pravinkumar54 4 жыл бұрын

@Krish Naik 11:30 if you double pick the pairplot in jupyter notebook. It zooms in

@souravbiswas6892 4 жыл бұрын

awesome work Krish, a big thumbs up

@saunitmarolia3901 3 жыл бұрын

Thank you Krish! All doubts cleared now.

@nagupranav 2 жыл бұрын

you are always great man.. anyone can understand by watching your video.

@saichoz 4 жыл бұрын

Great Vid. You made things clear. Thanks

@khalfanalkharusi6577 3 жыл бұрын

Thank you for your contribution. Please note also that classification learner app in Matlab provides you such pair plots

@neon91111 5 жыл бұрын

great video man .. luved it..

@sahinur_zmn 4 жыл бұрын

just awesome 💚💚💚i am just recharged after completing this video..thanks a lot.

@olajideoluwasanmi4260 4 жыл бұрын

You are the best Krish. Thanks for this.

@gargidixit5651 Жыл бұрын

Amazingly Explained, I have never got any satisfactory answer for this question Thank you so much for such knowledge sharing :)

@translatethis7765 3 жыл бұрын

The thing is, you are looking at the pair-plot for only two dimensions. Although everything is overlapped when projected into pairwise space, it doesn't necessarily mean the data is not linear separatable right?

@gouravgangani 4 жыл бұрын

Thanks Krish for such a nice explanation.

@somalkant6452 4 жыл бұрын

hi krish, it was an awesome video. just a doubt popping up in my mind, when there is overlap of datapoints, why cant we use SVM, bacause that will also take the points (of different classes) to other dimensions and divide the points using hyperplane. please correct me if my understanding is not correct. Than you so much for your awesome videos.

@neelammishra5622 2 жыл бұрын

I really found the answer of my most confusing question into so simplify terms. Thanks sir

@folashadeolaitan6222 Жыл бұрын

Thank you for this great insight!

@leoprinceznirp39 7 ай бұрын

Thank you so much. Your explanation gives good clarity. Great work. Thank you😃

@KaranSingh5 Жыл бұрын

Thank you so much for this video! This solved such big confusion for me!

@connectsantech 4 жыл бұрын

Very nicely elaborated !!! Thanks.

@anujasebastian8034 3 жыл бұрын

Great insight!!! Thanks Krish!

@V_Wankhede 4 ай бұрын

Informative video , its all jam of each algorithm that you taught. Thank you for brief explanation. 👍

@RaushanKumar-qb3de 2 жыл бұрын

Thanks. I'm in need of this video

@amirhosseinrahimi3964 Жыл бұрын

Thanks a lot for such a great explanation 😊

@chandramoulireddy9636 3 жыл бұрын

Naik sir, thanks for giveing inforamtion about selecting algor,,. i am very happy to follow ur channels. thanks.

@MarioLaudazi 2 ай бұрын

Thanks for the useful videos you post.

@prernamistri Жыл бұрын

wonderful video. thank you.

@Tjos4155 4 жыл бұрын

classic video... cleared my concept

@barsvelioglu2276 2 жыл бұрын

Amazing! Thank you.

@ainju1 2 жыл бұрын

Informative. Thank you so much

@salihsartepe2614 7 ай бұрын

This is amazing. Thank you Krish :)

@AbhishekBalsara 2 жыл бұрын

Great video, really cleared the concept 👏👏

@ketanbutte3497 3 жыл бұрын

excellent video! thanks

@kamran_desu 3 жыл бұрын

Hey Krish, great video - just shows how important it is to understand the geometry/maths behind ML. In regards to using KNN here for overlapping data points, would SVM (radial/polynomial) be a good choice as well, since it will use the kernel trick to apply a non-linear classifier in a higher dimension? And how would SVM compare to the tree methods in terms of computation complexity?

@adityakishan589 2 жыл бұрын

Same doubt. Krish please help us get clarity on this.

@karandua6564 2 жыл бұрын

Even logistic regression may work, he is just comparing two dimensions at a time, they may be linearly separable in higher dimensions .

@danielschulz5447 2 жыл бұрын

@@karandua6564 no, I think that is not true. LR will not work good, if single plots are pairwise highly overlapped and/or not dividible into straight lines.

@himanshubisht9643 Жыл бұрын

Here I can understand how to choose the best algorithms to my dataset thanx sir👍👍

@yunus9850390381 4 жыл бұрын

Hi Krish, First of all, it was a really good video and nice explanation. Thank you for sharing. I would like to understand, what will be the visualization option when we will have mixed data ( Numeric and Categorical)?

@sunnysinghbhatia194 2 жыл бұрын

This was very much helpful Thank you Krish

@suhailabessa9901 Жыл бұрын

Woow, Thank you. its helpful

@rupeshghule8495 4 жыл бұрын

Thanks alot pretty informative

@jigarshah1883 4 жыл бұрын

We should give a try to SVN as well as using kernel we can understand the data after plotting and predict it nicely..

@gangaholi8600 2 жыл бұрын

Very nice presentation.. thank you..

@Raja-tt4ll 4 жыл бұрын

Very useful video. Thanks :)

@anupambarasia7865 Жыл бұрын

very well explained thankyou so much sir

@keerthanabalaji3584 4 жыл бұрын

Thank you very much. :)

@harshinimedha7807 Жыл бұрын

The best explanation I have ever seen ✨

@devmaharaj4640 4 жыл бұрын

One of best video's I have seen , won't forget to return u the favour....

@KetanChaudharyTHE-GREAT-KETAN 3 жыл бұрын

Thanks a lot Krish......it's really very helpful ......

@chrissanjiv1753 3 жыл бұрын

good explanation Krish, Very crisp and clear

@karldtrumpeter 2 жыл бұрын

Thanks so much Krish. This knowledge is pricelss.

@swetapatra 3 жыл бұрын

ok, so ideally, we decide on the algorithm based on the charts we have plotted?

@sithalrao 4 жыл бұрын

Hi Krish, if we have more numbers of features say 30, than in that case we wont be able to draw pair plot. What should be our approach in that scenario? Many thanks for your wonderful videos :)

@faisalghazanfar169 6 ай бұрын

excellent explanation...really an easiest way to understand and clear confusion..:)

@siddhantkaushal7669 2 жыл бұрын

It is a good video. Also explained in detail to understand pair plots. :) Thanks.. My Question is: When should we decide to use SVM and Naive by visualizing and analyzing the pair plots? :)

@datahat642 Жыл бұрын

@siddhant Naive Bayes works well with higher dimensionality (such as text corpuses) while support vectors whpith its kernel is applied when the data is non linear but you want to apply a linear classifier by transformation

@syedtasleem2827 4 жыл бұрын

Sir, What about SVM U didn't mention on what kind of Data it can be used after understanding pairplot,..

@Crazyanya_ Жыл бұрын

Sir thank you so much you solve my problem

@paramjeetgill1558 4 жыл бұрын

Excellent👍

@kunikakhobragade6953 Жыл бұрын

great sir ... can u plz make a video on the comparison of every ML algorithm

@mithunkumar7063 4 жыл бұрын

what if there are more number of categories..the graph takes time and will it be useful then???

@firdawsyahya3749 4 жыл бұрын

This has been helpful

@drm8164 10 ай бұрын

Love you, you are great

@yogitapeshane6934 4 жыл бұрын

It was really good video.. Please make more videos in DataScience...

@bakkiyarajganesan3130 4 жыл бұрын

I got an idea for Machine Learning algorithm selection. l blindly go with XG boost for nonlinear and imbalance dataset, will get decent results. Your videos are helpful for us and keep doing it 🙏

@manikantabandla3923 3 жыл бұрын

Does all the classification problems solved using neural networks?

@Amansingh-tr1cf 3 жыл бұрын

U made my day Krish sir

@roshanajadhav5854 4 жыл бұрын

You are doing amazing job Sir, I am too late to land on your channel Keep it up You are providing knowledge free of cost where people taking money for this in thousands No need to join any private classes with huge pay if you will provide this material in sequential order Great job all the best👍💯

@fuck30093 2 жыл бұрын

Have you found an answer to your question?

@vijaynale7893 5 жыл бұрын

Nice ... Please make more videos for data science, beacuse it better to understand into that way...... Thank you Also make video for data cleaning, Solve any business problem

@modernmonk17 3 жыл бұрын

I tried to plot the same on my datset & it shows a mix of overlapping in some features & non-overlapping in others,so based on that which model should i go for? Any help would be appreciated

@230489shraddha 2 жыл бұрын

Very informative video. Krish can you further elaborate in the case of Regression ... how to choose ML algorithm.

@anandacharya9919 4 жыл бұрын

Super sir, excellent

@shreyasb.s3819 3 жыл бұрын

Very nice explanation

@mumtahinaparvin7668 2 жыл бұрын

Well explained.

@cedriclebocq1060 4 жыл бұрын

Hello Krish. I would like to order your book, but it seems to be unvailable on amazon for European zone. could you explain me how to order ? Thx

@chravi511 3 жыл бұрын

Please Explain me, Scenario 1 : All Categorical, ordinal, nominal features - Categorical target Scenario 2 : All continuous features - Categorical target Scenario 3 : Combination of categorical and Continuous features - Categorical target Which model to use in these scenarios (particularly SCENARIO 1) ?