bhai dil jeet liya tune , kash march mein hi mil jata tera channel

@VishalGupta-ji7yo

14 күн бұрын

izzat kar le bhai thoda

@yahyakhan3626

13 күн бұрын

@@VishalGupta-ji7yo me bhi aj dekh rha

31:10 If you want to shorten all the team names, you can use the following code: def rename(name): list1 = name.split(" ") temp = '' for i in range(len(list1)): temp += list1[i][0] return temp

Best channel on youtube. It's channel's like yours that make social media worthwhile. Dhanyavaad dost

Literally Speaking. the way of teaching by u Sir is appreciable, I have learned ML from ZTM but your course is enormously so much useful and understandable.....Warmed Respect for u Sir

Amazing! I was in search of such detailed explanation video and I found this playlist. Thank you for your effort.

@Cha_Nu6

Жыл бұрын

metoo

Bhai ap great ho !! khush rho.. bht kch seekhne ko milta hai ap sy hats off to you Love and lots of respect from a student from Pakistan 😍

One of the best channel for learning ML Thank u so much sir for improve my knowledge. God bless u

sir your explanation is very clear and in right pace, clear understandable content and warmed respect from me waiting for deep learning and nlp complete playlist thankyou very much.

amazing sir ,bahut zayda baareek cheeze explain kari hai aapne thanqu sir

You are doing a great job brother, respect and appreciation from Pakistan👍✊

Thanks a lot for making this playlist. really appreciated.

You are a gem.. Kudos for such amazing content!!

@shariqmeyraan2373

2 жыл бұрын

How can I contact you? I want to be your student!!

interesting, informative and amazing lecture

For anyone confused, Skiprows is a parameter which is 1-indexed, if you pass in 0 then it will actually remove the column names since the parameter treats the column names as the 0th row. So in a sense, while it technically is 0-indexed, it considers the column names as the 0th index and so we have no use of using that. This makes it 1-indexed in use.

@abdulaziz-vm7yh

8 ай бұрын

yeah even i did noticed that, i dont know why they consider column name as 0th index

Amazing sir. Hats off to you

Learning with great understanding with you Sir, I hope this will help me in my next Course of Generative AI.

Very Easy Explanation. Thanks sir ji😀

sir, you put all your effort to produce good content keep it up sir

Very useful video. Thank you sir

one of the best content for ML platform ,.... Sir you are GOD 🙂

Kamaal ho Sir g ap ... God Bless u

Sir, you are a real hero

luckily i got your channel..thanks !!

awesome explanation bro keep it up

Loved your videos, Please make videos on advanced robotics as well

Awesome Explanation Javascript Object Notation

It was very usefull. thanks a lot...

Bahut badiya content tha, as a beginner bahut kuch seekhne ko mila. Thank you sir , aise hee ML videos aur b chahiye 💜

@ilggaming321

6 күн бұрын

bhai 4 hajaar ka course ma dought aaya fir link milla saare dougt solve ho gaye

i was looking for UTF-8 error .thank you boss🙏🙏🙏🙏🙏

Love your contents ❣️

Very helpful video

Sir aap best ho

Thank you so much sir 🙏🙏

sir you are the best......

I have some questions regarding the header. It is associated with the OS and browser. How can we use the same header from different OS and browsers?

thank you for showing direction, #ML, #Machine learning,#MACHINE LEARNING, # csv, #HOW TO OPEN CSV IN PANDAS...... --- following the path

Very Intereseting Video

Maja aagya sir...🥰

U just doing great..

How to filter csv file in which words with mixing of aplha and numbers. Can we see GNN in upcoming videos with lot of examples. Thax

in skiprow part the main rows of data are starting from index 1 not 0 , when u was doing 'skiprow[0,5]' u was deleting the header row and the 4th row sir...

Hello Sir, XGBoost is not included in playlist, could you please make a video on XGBoost ?

Why people are spending lakhs of rupees in the institute? I have been going through various institute videos but now here i got the real thing within a month I'll be the data scientist.

@duitakarbhat

2 ай бұрын

Did you become one?

@yogeshkhanna5173

Ай бұрын

Did you become data scientist or data analyst

thank you so much

Thank you so much for beautiful content. But how to handle txt file?

very good videos

sir can you please share the ipynb file probably with all the dataset link.

where do i get the dataset used in this video

superb

Where i find my headers and how to get the header??

finished watching

19.01. If you use 0 then it will refer to the row which incorporates the column names. So actual rows start from 1 onwards. And this will resolve the issue.

@monoarul_islam_3

2 жыл бұрын

35.26 you need to use chunks instead of chunk.

Sir can we also do that we can paste that CSV file in notepad and then, open that text file in Excel and save it as CSV. By this we don't have to write code for opening a CSV file from the url.... Please reply is the right way to do.. or writing code is necessary..

At 35:20 how the hell is this not throwing an error ? i mean "chunks" in dfs and inside loop there is variable "chunk"

create a video on data warehouse , no sql data bases and big queary . [ explain data marts , data lakes, pipelines and etc in details ] [data engineering in depth]

Where to get the jupyter notebook

How to take User input for CSV file and process it

Sir, How do I load the dataset from the github. please ....

love it

where is link of codes and datasets? plz help

Maza aa gya

HI, SIR HEADER IS SAME WHEN WE OPENING A CSV FILES FROM AN URL.

Lovely

can you please share github link of this notebook?

Where can we find the jupyter code for this video

@mango-strawberry

26 күн бұрын

were you able to find it?

@mango-strawberry

26 күн бұрын

@@Garrick645 which link?

@Garrick645

26 күн бұрын

I'm pasting the link but KZread is not letting me post the comment

@Garrick645

26 күн бұрын

@@mango-strawberry just see his next video in the series, the link to his GitHub is given in the description box. You'll find all the days files over there.

@mango-strawberry

26 күн бұрын

@@Garrick645 thanks I was able to find it.

Notebook kha hai?

ir url se csv read nehin ho pa raha hai

sir can you please share google drive link which contains google colab of examples of all the parameters which we discussed today along with the datasets

@campusx-official

3 жыл бұрын

Check description

sir aug_train.csv file khul ni rahi hai

kahan hai github ka nb link?

can you provide the csv files

greattttttt

inn sab ke github codes kaha available honge sir ?

@mathics2869

3 ай бұрын

If u got the link pls share with me

erorr bad line deprecated to on_"bad_line

Bro , if i just run pd.read_csv(url). Then also it works. isnt it?

@campusx-official

Жыл бұрын

Yes

amazing.....superb

Sir, please provide notebook. Thank u.

encoding='ISO-8859-1' works for all file

sir dataset share kar dijiye pls

@mathics2869

3 ай бұрын

If u got the link pls share with me

github link bhul gaye kya daalna?

sir please share the source code for this tutorial

where is the link of notebook ?

@mohammadrizabul

18 күн бұрын

have you got it ?

23:00

25:00

import pandas as pd import numpy as np pd.read_csv('placement.csv', na_values=['cgpa']) sir this isnt working

@iamsachinnegi

2 ай бұрын

What thinking u performing here u should give name to file then run ..

Done

29:38

11:00

Javascript object notation

who noticed ' hyd trip ' 🤚🤣

at 17:32 squeeze is no longer supported that way. updated version is like this - pd.read_csv('aug_train.csv',usecols = ['gender']).squeeze()

Hi, here is a code snippet which can also be used to get encoding info : code: import chardet with open('spam.csv', 'rb') as rawdata: result = chardet.detect(rawdata.read(100000)) result O/p: {'encoding': 'Windows-1252', 'confidence': 0.7272080023536335, 'language': ''} here this is encoding: Windows-1252

Amazing sir. Hats off to you