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Well-explained! 👏👏👏

where to find ticket.csv becuase it has been used but not avaible in drive folder

I am getting "File Save Error " can anyone help?

where is the flask video😭. This is such an amazing series!

Can you pliz share this link again it is not working now please

Very bad playlist bro 👍 appreciate it

12:55 what does [0:10] mean in sentence data [Title] [0:10] ? need fast reply, thank you 🥹

Nice explanations

What about the negative highly correlated columns?

I like how you label outliers as 'outliars' because they do lie about the overall pattern of the data 😁

Can you please give a list of problems from leetcode for these DS

Good tutorial But I got some error in the last code. data.ix[index,'Title'] = filter_sentence It says **AttributeError: 'DataFrame' object has no attribute 'ix'**

this tutorial is very good and beginner friendly...please how can i get the part 2

How to download all the results into csv

thank u fam

sir, does it process on real time dataset or it works on given dataset only???

hello utsav , i have one doubt numerical_feature=[feature for feature in raw_data.columns if raw_data[feature].dtypes != 'O'] print('number of numerical variable',len(numerical_feature)) raw_data[numerical_feature] discrete_feature=[feature for feature in numerical_feature if len(raw_data[feature].unique())<25 and feature not in year_feature] print('Discrete Variables Count: {}'.format(len(discrete_feature))) continue_feature=[feature for feature in numerical_feature if feature not in discrete_feature] can you explain the discreate feature line , why they use greater than 25

so what is the conclusion ??? what did we get after all this work

Hi Utsav Sir, If we practice thoroughly from only these few topics, is it enough to crack any data scientist coding round?

It would be helpful if you could attach the code in the description

how can max be 30000 there is other outlier data which is max right

Sir in data sciene in need o learn python so why not i do dsa in python . But industry says c++ is fast so should i do both ??

Utsav, hi! Why don't you add combined.txt right away without adding another dataset first? I am learning and I don't understand why you first add movie_titles.csv and movies_metadata.csv? and only after that combined_txt?

those who are watching in 2022: new scikit learn syntax: count_vec = CountVectorizer() count_matrix = count_vec.fit_transform(sentences) feature_names = list(count_vec.get_feature_names_out()) count_matrix

where did ix come from please?

Good video . Jai Hind from Scotland.

i am getting an error of access denied while loading this instacart dataset. Please help me and guide me

Hi Utsav, can you please provide data science job opportunity for fresher?

This video was extremely helpful to me, especially the last code cell. Thank you so much!

I hoped we could have access to the codes but thank you for all the videos they are great!

Is vit Vellore good for msc data science

thanks

Thank you Utsav! Very useful video

There are still some outliers there What should we do about them?

How can i get this dataset , can you send it as a pdf file ?

Why your notebook is cutting from the left? bro improve first.

Very simple explanation 👍

Sir kuch bhi clear ni kiya aapne thik se.. aapko pehle apna network connection/setup check karna chahiye tha

plz share source code

since sample size is given why are we not doing Z_score = (sample_mean-pop_mean)/(std/sqrt(n))

What's your salary sir?

Amazing video . Helped me a lot in understanding the concepts on NLP. 🙂

great 🤝

Very beautifully explained! 👏 Thank you so much for the content.

Hlo utsav. iam not getting any calls from recruiter, i have studied data science on my own and I have done 6m of internship and I have done some good end 2 end projects. can u help me how to increase my interview calls

Hi, is there a video where you explained how to predict the price?

40k views superb :)

Sir plz upload data set for preprocessing

bhai explaination to acha kia h.. par apka color combination kharab h.. dark color par light color hona chahiye.. black pr dark blue nahi dikh rah h..

Can you make video that how to create this? 🥺 it will helpful