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 💀💀💀

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

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.

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.

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

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

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🙏

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

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

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

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

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

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

Excellent video for an initial understanding! Thanks!

Best video till now. Thank you Krish.

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

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

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

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

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

Most important video. Explanation is just amazing.

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

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

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

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

Thanks for everything you do, your words are very motivating

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

You saved my day Krish. Thank you.

awesome work Krish, a big thumbs up

Thank you Krish! All doubts cleared now.

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

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

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

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

You are the best Krish. Thanks for this.

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🙏👍👍

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

good explanation Krish, Very crisp and clear

Thanks Krish for such a nice explanation.

great video man .. luved it..

Great Vid. You made things clear. Thanks

The best explanation I have ever seen ✨

Very nicely elaborated !!! Thanks.

Thanks a lot for such a great explanation 😊

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

Great insight!!! Thanks Krish!

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

Thank you for this great insight!

Great video, really cleared the concept 👏👏

classic video... cleared my concept

Thanks for the useful videos you post.

This is amazing. Thank you Krish :)

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

Thanks. I'm in need of this video

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

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)?

This was very much helpful Thank you Krish

Informative. Thank you so much

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.

wonderful video. thank you.

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?

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

excellent video! thanks

Thanks so much Krish. This knowledge is pricelss.

Very nice presentation.. thank you..

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

Very useful video. Thanks :)

very well explained thankyou so much sir

U made my day Krish sir

Woow, Thank you. its helpful

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 :)

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.

Amazing! Thank you.

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

You are my true datscience Guru 🙏🙏

Excellent👍

Thanks alot pretty informative

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) ?

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

Sir thank you so much you solve my problem

Well explained.

Very nice explanation

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?

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

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

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

Superb Explanation can you please do on regression

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

Sir please make more video related to classification and regression .I have to much confusion in regression also,when to select which algorithm .

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

Very useful video krish sir🥰🥰

Super sir, excellent

Sir , this vedio is very helpful

please teach about the selection of regression too with an example. Thank you

Sir if you could also make a video on the approach to select algorithms for unsupervised learning.

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

great seassion sir ]

Love you, you are great

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

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?