awesome job! love the simplicity. keep going!

Really helpful to someone to see someone work through a really simple solution as someone moving from to python from R!

Thanks for sharing this simple and elegant beginner friendly code. Your approach are very clear and understandable.

Thankyou so much for sharing this elegent and simple , beautifully written code. As a bigineer your code is a holy grail !!!

This made so much sense, thank you.

Thank you so much!!! It was really helpful to get started in Kaggle competitions^^

Thanks a lot. As a beginners, it's helpful for me!

helped a lot! thank you!

That was really helpful. Thanks

Thanks I've subscribed. Very simple yet informative content.

Perfect for the beginner!

People get 100% because this dataset is so classic and they are always finding the best features or maybe use ensemble methods. But your intro is so straightforward for me to start at kaggle. Thanks!

Very helpful for begineers .................. Thanks for such content.

Thank you bro!!

Thank you sm dude

That was easy and helpful :) Thanx!!

GOD LEVEL VIDEO THANKS SO MUCH!

I did the same approach when I started my kaggle journey 😀 .. .. request from my side please make some viedos on transfer learning in natural language processing thank you

Thanks a lot man you helped me

Thank you!

Well done mate!. Thanks for this. Hopefully you will do more Kaggle stuff. Will follow everything

@AladdinPersson

3 жыл бұрын

Yeah it will for sure, got another video coming soon on a bit more advanced competition

Thank you, very helpful ;)

appreciate good effort!

nice vid, did my assignment with this

This is what I really need as a beginner

Hi, thanks for your tutorial. I've implemented your code, but why the accuracy that I got is different with you?

Thanks a lot

Thanks for the video! Do you happen to be from Norway perhaps?

Thanks for this! I have a question, at 3:45 how are you able to avoid writing the whole directory of the file and just say "train.csv", instead of writing the whole snake of the directory e.g. "C:\\Users\\etcetc\\Python\\titanic\\train.csv"?

thanks for you

For logistic regression, isn't it necessary to do feature scaling before training? When I searched in the net, it was specified that we should do feature scaling for logistic regression

100% its mean over fitting of course u can do more stuff to boost your performance PCA, boost sampling, cross validation, even prior parameter

@AladdinPersson

3 жыл бұрын

I agree, you can try/do a lot to more to make it even better, for this one I tried to keep it minimal and simple

@adilsonmedronha706

2 жыл бұрын

Actually it is not overfitting because this accuracy were measure through test set (unseen data), not train set.

In this case (using a regression), is it possible to just use stata? I feel like most of the actions performed here would have been easier/quicker in stata… I’m asking this since I now how to work with stata and am currently learning data science via datacamp/kaggle and want to compare some tools :)

Hi bro how did you set up the CSV file on the jupyter because my CSV file was not defined thanks

Can you make a video about XGBoost; their is not many resources for that

I really like your style of thinking and explaining. Could you please advise on any (free or not) courses/articles or anything you believe is good for beginners?

remember me when this channel is gonna go hit : )

@jose3538

3 жыл бұрын

Remember me too!

Bro for *Embarked*u should go for Nominal encoding not a label because it's names of ports

@hailongnguyen7176

7 ай бұрын

Yeah you right

Why did we not used fit.transform on test set

And the 100% people, rumour has it that some people have got the info of the people from the actual Titanic records which is publicly available. So it would give 100% obviuosly

@AladdinPersson

3 жыл бұрын

Makes sense!

@viralmedia.007

5 ай бұрын

so are kaggle competitions genuine?? i always wonder how would people get 100% correct predictions or is this specific to this competition only? moreover they come with such huge prize pools

@suhass6628

5 ай бұрын

@@viralmedia.007 yes the actual competitions which have prize money very genuine. The rigged ones are usually very basic or fir which data is already available publicly

everything else works for me except predictions when getting to 14:43 it just says "AttributeError: 'function' object has no attribute 'predict'"

Very short,simple and explanatory, but you use machine learning techniques all through, you don't really explore and visualize the data. This video is awesome by the way,and beginner's friendly

I think your code is excellent, but it freaks me out how many data scientists only see their accuracy as a result. Understanding and presenting the results in meaningful way is key to any science. So... who was likely to survive??

can someone pls help me out here ? at 14:55 on running it shows "value error: X has 8 features per sample; expecting 7"

@timgen-iu1qo

10 ай бұрын

I have same error, haven't you solved it yet?

@magikarp1743

10 ай бұрын

@@timgen-iu1qo yea i got my mistake... in the 2nd cell i wrote test = pd.read_csv("train.csv") instead of test = pd.read_csv("test.csv")... silly of me

@timgen-iu1qo

10 ай бұрын

@@magikarp1743 IMAGINE, same mistake... Thanks 😂😂

Ur code gives error when we predict x test

Planning to do more real ones in the future?

@AladdinPersson

3 жыл бұрын

yes

@AladdinPersson

3 жыл бұрын

Got any ideas of some you think would be useful?

@AIPlayerrrr

3 жыл бұрын

I watched a lot of video of yours and I think you are very likely to place high as you are really knowledgeable. You explain thing very well. I think you can try the recent human protein competition. It’s a fun weakly supervised classification problem.

@talha_anwar

3 жыл бұрын

Upvoted

Noob here, question: why did you clean your data through a function? Why not just run those exact commands outside of the function?

@timgen-iu1qo

10 ай бұрын

i think because he had 2 tables with input data and it's easier to write 1 function and call it 2 times than writing the algorithm 2 times and change something for each table

Well done. thanks for you efforts! 100% accuracy? I am sure they have cheated :)

im getting an error while spilting the data can you help me? or if you dont mind an you send your number please i will send screenshot to you?

Plz speed runing datasets like games😂

@AladdinPersson

3 жыл бұрын

How you mean? :P

@mehermanoj45

3 жыл бұрын

@@AladdinPersson pick a random dataset and try how fast can u go from downloading to inference.

I'm having errors while fitting the model It says Float() must be str or .... Not method

@nevilleodhiambo1370

Жыл бұрын

How did you handle this

@maitrijain7758

Жыл бұрын

I also get the same error

@prannayhemachandran966

10 ай бұрын

got solution for this????

@Ajay_Pathak_

10 ай бұрын

I have no idea what I did after this error , I might have even left it entirely 😂, sorry guys !

LogisticRegression??? where's the neural network? :)

@AladdinPersson

3 жыл бұрын

In the moment it felt like it would be overkill, in retrospect I regret it :3

Do u know how to find the most popular name among male Titanic passengers?

@krnl1304

2 жыл бұрын

One with the maximum frequency should be the most. So use count() and max()