Access Hindi, English courses here- www.unfolddatascience.com/s/store Plz register on the website

@antshant1

11 ай бұрын

Great explanation buddy ... no BS no timewaste!!! And great to see you have a course in Hindi too ♥

Couldn't have been more simplified. Every time I want to revise a concept, I find the best explanation at your channel. It's like worth every second. Awesome.👍

@UnfoldDataScience

3 жыл бұрын

Thanks sabyasachi for motivating me through your comment. If someone in your connect is looking to learn data science live with me, kindly let me know. I am planning a batch starting this Saturday. This is for beginners. Thanks again.

@ravirloypinto6113

2 жыл бұрын

Exactly!

The way you explain the content whether it is simple or Complex, is crystal clear, people from different field will also understand easily. INSPIRING...

@UnfoldDataScience

4 жыл бұрын

Thanks a ton Karthik :) your comments are my my motivation.

Well explained, out of many videos i searched, this was the best explanation which cleared my droughts. Thank You!

Thanks a lot! This is by far the easiest explanation I have found on the internet!

@UnfoldDataScience

2 жыл бұрын

Thanks again.

This is such an underrated channel!

@UnfoldDataScience

2 жыл бұрын

Thanks a lot.

This was so easily explained. Thank you so much Aman.

@UnfoldDataScience

3 жыл бұрын

My pleasure Hitakshi.

dude golden explanation. the dad analogy made the whole video click. i hope you will do that in all of your videos lol

nice info. Simple Explanation. You nailed it bro!!!

Very clearly explained. Really liked your work. Thank you.

@UnfoldDataScience

3 жыл бұрын

So nice of you for feedback Uddin.

Honestly, your explanation is super wonderful! Keep going

@UnfoldDataScience

2 жыл бұрын

Thank you

Thank you, I was not sure at the beginning that it will be clear like you simplified the topic

@UnfoldDataScience

2 жыл бұрын

Cheers Christian.

Love this channel. Your explanations are very simple and easy to understand for beginners like me.

@UnfoldDataScience

2 жыл бұрын

Thanks a lot

Just 'wow' explanation on this topic. Thanks a ton !!

@UnfoldDataScience

3 жыл бұрын

Most welcome Rohan

Highly...Highly Appreciated. You made things as easy as A-B-C-D.. Too good man. Too good.

@UnfoldDataScience

3 жыл бұрын

Thanks a ton Nilesh. please share with others in various data science groups as well.

Well explained. Thanks so much!

@UnfoldDataScience

3 жыл бұрын

Thanks a lot :)

You did an Amazing Job.Brilliant

@UnfoldDataScience

3 жыл бұрын

Thank you! Cheers!

Simple explanation. Thank You

Very clear explanation. Thanks

Your content is very clear, I am looking forward on more topics in Data Science. Thanks, Brother.

@UnfoldDataScience

2 жыл бұрын

Thanks Kowsalya. Kindly share within data science groups.

Good explanation, thanks 👍

You are doing great Job !!! Keep it up bro !!!

@UnfoldDataScience

4 жыл бұрын

Thank you, I will Anjani.

aman, your videos are really very good and easy to understand.keep up the good work!!!!!can you post something on time series estimation

@UnfoldDataScience

4 жыл бұрын

Thanks a lot, Sure time series is planned as well. :)

Bro the way u explained .... amazing

@UnfoldDataScience

3 жыл бұрын

Thanks Chand. Wish you very happy new year.

Very Simple and excellent way of explanation. Thanks a lot Aman.

@UnfoldDataScience

3 жыл бұрын

Thanks for watching Sekhar.

perfect explanation! 👍✌

Example and explanation is great. Keep up the great work ! ATB

@UnfoldDataScience

2 жыл бұрын

Thanks Mani, will do!

Thank you sir for the great explanation ❤

Extremely helpful, thank you so much!

@UnfoldDataScience

2 жыл бұрын

Welcome.

Very informative. Thank you!

@UnfoldDataScience

2 жыл бұрын

Thanks Naresh.

Amazing explanation Thanks

best video with regard to this topic. Simple and clear.

@UnfoldDataScience

3 жыл бұрын

Glad it was helpful!

amazing explanation. It helps a lot! keep up the good work

@UnfoldDataScience

2 жыл бұрын

Thanks Nyoto😊

nice explaination style

Great explanation! Thank you :)

@UnfoldDataScience

Жыл бұрын

Thanks A lot . Your comment means a lot to me.

Very nicely explained, Thanks!

@UnfoldDataScience

3 жыл бұрын

Glad it was helpful harish.

Wow what an explanation superb!!!

@UnfoldDataScience

3 жыл бұрын

Glad you liked it Moulesh.

It was very helpful for me. Thank you so much!!

@UnfoldDataScience

2 жыл бұрын

Glad you found it helpful 🙂

Great content

Thank you very much you helped me on final presentation for CL!!

@UnfoldDataScience

2 жыл бұрын

Welcome Andrew.

awesome explaination

Excellent Explanation!!

@UnfoldDataScience

3 жыл бұрын

Glad it was helpful!

SUper. Thank you Boss. you are a legend

@UnfoldDataScience

2 жыл бұрын

Welcome Anil.

u are great , u put soul in it

Thank you so much, you explain it very well, it helped me a lot

@UnfoldDataScience

3 жыл бұрын

Glad it helped!

Thank you Sir🙏🙏

excellent presenataion bro

Great vedio sir on point

@UnfoldDataScience

10 ай бұрын

Thanks a lot. Pls share with friends as well.

Thanks, very useful explanation

@UnfoldDataScience

3 жыл бұрын

Glad it was helpful Manuel.

thanks for this video, really this is very helpful

@UnfoldDataScience

2 жыл бұрын

Thanks a lot.

Awesome explanation !!

@UnfoldDataScience

4 жыл бұрын

Glad you liked it Suchana. Happy Learning. Tc

Really good explanantion!!!

@UnfoldDataScience

2 жыл бұрын

Thanks a lot.

very nice way of explanation

@UnfoldDataScience

3 жыл бұрын

Thanks for liking Azher.

superb explanation

@UnfoldDataScience

3 жыл бұрын

Thanks a lot Sir.

Explained very well brothee

@UnfoldDataScience

2 жыл бұрын

Thanks Dinesh

wow what an xplanation thank u sir

@UnfoldDataScience

3 жыл бұрын

You are most welcome.

Thank you sir

Amazing sir, Fortunately, I was landed on this channel. Thanks a lot, sir. Can you please also explain what the accuracy for Gridsearch means?

The way of explanation is simple and easy to understand.👍👍 Keep it going bro..

@UnfoldDataScience

3 жыл бұрын

Thanks for watching Sandeep. Happy new year to you and your family.

@sandeeppanchal8615

3 жыл бұрын

@@UnfoldDataScience happy new year to you and your family too :)

this is well articulated, i understood , thank you

@UnfoldDataScience

3 жыл бұрын

Glad it was helpful Allen.

@lifeundiluted6382

3 жыл бұрын

@@UnfoldDataScience it is sir thank you...im doing data analytics and we have small projects of creating ML models..due to covid we didn't manage to learn much so this video clarified a lost of staff for me..im grateful 🙏

Helpful video

@UnfoldDataScience

3 жыл бұрын

Thank you Keval.

Good explanation sir 🙏🏻

@UnfoldDataScience

9 ай бұрын

Thanks for watching. Pls share with friends

Helped me lot..!!

@UnfoldDataScience

3 жыл бұрын

Welcome again :)

ek number!

Awesome explanation

@UnfoldDataScience

4 жыл бұрын

Glad you liked it Prerak :)

Great sir

@UnfoldDataScience

2 жыл бұрын

Thanks a lot

Thank you

Very well explained ....

@UnfoldDataScience

3 жыл бұрын

Glad you liked it Abhishek.

Excellent explanation 👍👍

@UnfoldDataScience

4 жыл бұрын

Thanks Sourav.

Wow.great explanation

@UnfoldDataScience

3 жыл бұрын

Glad you liked it

@lakshithaeranga1853

3 жыл бұрын

@@UnfoldDataScience 😉💙

very clearly explained

@UnfoldDataScience

3 жыл бұрын

Thanks for liking Pramod.

Great video as always Aman. Just so that I can confirm my understanding..for Randomized CV, actual number of iterations= CV count* no of iterations provided in the code parameter. Please correct me if I'm wrong.

For each run of the random search cv I am finding different optimal values. Is there a way I can get the same result everytime?

Very good Aman

@UnfoldDataScience

4 жыл бұрын

Thanks a lot.

very clear explanation, im new to bioinformatics and i can understand with your explanation

@UnfoldDataScience

2 жыл бұрын

Great to hear!

best explanation

@UnfoldDataScience

2 жыл бұрын

Thank you

sir, ur explanation is too good and the program implementation is so nice. please make videos on the rest of the supervised learning model like logistic regression, SVM, naive Bayes, KNN with the program implementation. Please sir. and thank you so much for urs videos

@UnfoldDataScience

3 жыл бұрын

Sure I will Ajeet. Thanks for motivating me through comment.

Great video

@UnfoldDataScience

4 жыл бұрын

Thanks a lot.

thank you so much

@UnfoldDataScience

Жыл бұрын

You're welcome Ejaz, your comment is precious to me.

love you sir

Great teaching :)

@UnfoldDataScience

3 жыл бұрын

Thank you Tess😃

Thanks mate for the valuable information!! I love the way you pointing about no of iterations directly proportional to no of parameters we pass and CV number.. Let us consider one scenario that I already know 5, 100 are best hyper parameters that we can get for the given data, but when I perform RandomizedSearchCV then it gives 3, 100 as best hyper parameters among them, it just skipped trying 5,100 since it is selecting randomly.. is there any implementation in sklearn RandomizedSearchCV api that won't ignore best possible hyperparameters, if not then is it good to perform gridseachcv over randomcv although it is computationally slow or is there any other way to go for...?

thanks you sir too much

Perfect 👌👌

@UnfoldDataScience

2 жыл бұрын

Thank you

Sir, it's a humble request please do a video on deployment of deep learning models please😊😊

@UnfoldDataScience

4 жыл бұрын

Deployment videos are there, on deep learning I will create as well.

finished watching

You are GOD of ML

@UnfoldDataScience

2 жыл бұрын

Thats too much Venkat, :D Your comments motivate me a lot.

awsome

@UnfoldDataScience

4 жыл бұрын

Thanks Praveen.

But how do I do get to choose the values of hyperparameters to get gridsearchCV iterate on them?

@UnfoldDataScience

2 жыл бұрын

It's hyperparameter that needs need to be tuned.

Man you are so good, do u have AWS course too

@UnfoldDataScience

Жыл бұрын

coming soon

Intuitive explanation. Thanks! Just a question. How do you select a distribution for randomizedsearch CV? Is there any default value for the same.

@UnfoldDataScience

3 жыл бұрын

If a list is given, it is sampled uniformly

please add practical also, it will help us a lot.

@UnfoldDataScience

3 жыл бұрын

Already added on this topic Azher.

Very clearly explained.. Thanks for making this look so simple.. I have a query here.. As you mentioned when we have a large dataset we shouldnot go for GridSearchCV. So in this scenario can we run the GridSearchCV on some random samples of the large dataset and pass on those set of parameters to RandomSearchCV

@UnfoldDataScience

3 жыл бұрын

Hi Abhishek, can do that however it might not be true parameters for larger data.

Have some confusion regarding distribution in randomized seach cv

For exemple I'm trying to create a classification model with knn.Should I use gridsearchcv and after that I use cross validation with the best parameters or what ? thanks in advance

@UnfoldDataScience

3 жыл бұрын

Hi Youssef, if your data size is huge go for Randomized search and tune ur model else grid search is a good option.

@youssefbenfarhat575

3 жыл бұрын

@@UnfoldDataScience Ok and after looking for the best parameters, should I run many algorithms with cross validation and take the one with the best mean accuracy ?

Sir is it possible that we skip cv in gridsearch cv

What if the dataset is smaller if it has nearly 500 records and 16 features after dropping some, should one go for gridsearchCV or default? In what situations one should consider only default parameters and not go for GridsearchCV too.

@UnfoldDataScience

3 жыл бұрын

500 is very less for model training.

Nice explanation. I have a doubt. How to use gridsearchcv if I want to use my own custom loss as metric that uses predicted probabilities instead of class labels? Thanks in advance

@UnfoldDataScience

Жыл бұрын

we can pass our objective metirc as parameter

How randomized CV tends to perform better when parameters dont have same impact on model as when the samples ae selected how its ensure maximum knowledge fetched from paramater having higher impact

Sir, finally you told that it selects best hyperparameter as max_depth = 4 and N_tree = 80 , so this randomized searchCV always selects best from it or arbitrarily it is choosing something which we have to accept as best hyperparameter ??bcz each time it chooses different combination know --> we may get some worst parameters also right? im confused about it a lil bit. plz reply me sir.

@UnfoldDataScience

3 жыл бұрын

Yes absolutely, we may get different combinations hence we need to run many iterations and choose based on our requirements like what we are trying to achieve through the model.