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- Видео 124
- Просмотров 23 191
Pradeep Kumar
Добавлен 10 дек 2011
This channel is meant for understanding the concepts used in data science using programming languages like R and Python. My most of the content would be in HINDI language. But I will try to make content in English as well, once I have some command in clear english. Anyways, If you think you have learnt something from this channel you can donate using the link given below(BuyMeACoffee). Thank you very much for your support and kindness.
12 Aggregations in polars - (HINDI)
code files: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
Просмотров: 34
Видео
11 Mystery of NaN and Nulls - (HINDI)
Просмотров 93 месяца назад
code files: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
9 DateTime 2 - (HINDI)
Просмотров 43 месяца назад
code files; drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
8 DateTime - (HINDI)
Просмотров 63 месяца назад
code files: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
7 TimeDelta 2 - (HINDI)
Просмотров 73 месяца назад
code files; drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
6 TimeDelta - (HINDI)
Просмотров 103 месяца назад
code files: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
5 Coverting DataTypes 2 - (HINDI)
Просмотров 153 месяца назад
code file: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
4 Converting DataTypes - (HINDI)
Просмотров 103 месяца назад
code file here: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
3 Selecting columns - (HINDI)
Просмотров 143 месяца назад
code file here: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
2 Reading Files Types Quirks of pandas - (HINDI)
Просмотров 143 месяца назад
Reading files in pandas and polars, also understanding some gotchas in pandas, code file: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
1 Basics Pandas - (HINDI)
Просмотров 243 месяца назад
Preamble for pandas. Understanding basics of pandas. Code files are present here: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
10 Aggregations in pandas - (HINDI)
Просмотров 93 месяца назад
code files: drive.google.com/file/d/15tC-6oFu6SvYclR8DZ_bNhZXZxGxyeJH/view?usp=sharing
Numpy Arrays - Creating arrays and conditionals in numpy- 04 (Hindi)
Просмотров 29Год назад
Some methods like np.random.randn, np.arange, np.eye, np.zeros etc.
Numpy Arrays - Some methods - 03 (Hindi)
Просмотров 13Год назад
Numpy Arrays - Some methods - 03 (Hindi)
Numpy Arrays - Introduction - 02 (Hindi)
Просмотров 14Год назад
Numpy Arrays - Introduction - 02 (Hindi)
Numpy Arrays - Introduction - 01 (Hindi)
Просмотров 30Год назад
Numpy Arrays - Introduction - 01 (Hindi)
Object Oriented Programming Using Python #44(HINDI) - 12
Просмотров 12Год назад
Object Oriented Programming Using Python #44(HINDI) - 12
Object Oriented Programming Using Python #43(HINDI) - 11
Просмотров 702 года назад
Object Oriented Programming Using Python #43(HINDI) - 11
Passing Function To A Function in Python (HINDI)
Просмотров 882 года назад
Passing Function To A Function in Python (HINDI)
Object Oriented Programming Using Python #40(HINDI) - 8
Просмотров 542 года назад
Object Oriented Programming Using Python #40(HINDI) - 8
Object Oriented Programming Using Python #42(HINDI) - 10
Просмотров 502 года назад
Object Oriented Programming Using Python #42(HINDI) - 10
you are a champion. few views of this video now. but you will be appreciated in future for creating this. Thanks.
Glad it was helpful!
Thank you so much sir,,, I am learning python from your lectures
Can you share the code?
Soon i will be teaching manim, and you will have the code... Wait for few weeks, i am recovering from illness... Thanks
windows m ho gya but ubuntu m nhi ho rha h pyenv so can you plzz help me
Error batao
nice
This is beautiful... Share the code plz..
Ok
These basics are very informative. But these will take a lot of effort to retain
Programming is not easy, yes accessibility to code become easier, however, it is easier compared to what programming was 20 years ago. The problem in older days, that a programmer also has to know about other things along with the language they are coding. An example : in learning C, one has to know, how a compiler linker work together, how and when which data type should be used, how to manually allocate and delete memory. All these things are not required when you learn languages like, python, R, javascript etc. But still if someone knows it, it's good for them. So in general tons of knowing other stuff has decreased but it never meant that programming is easy. It will only come to people when they do tons of practice, with that practice you will eventually remember some stuff but not all. I understand it would not be easy. But please don't give up, just because it looks tough... You or anyone can do it. Just be calm and do a tons of practice, that's all.
Very good explanation and clear
Superb sir bahut badhiya
Superb
thank you sir
Im sorry to hear about your father sir Hope you things are better for you Your oop videos have helped me a lot thank you sir.
sir we also want to learn excel from you
sir consuming your content and its really lovely pls upload more such content on machine learning as well, please
Thanks a lot, i am dealing with some personal issues, once i feel better, i will start uploading more stuffs. Thanks for kind words
bahut sahi mere bhai thanks
sir please help me , i cant resolve it . i have a list like li li= [[1, 'Jean Castro', 'V'], [2, 'Lula Powell', 'V'], [3, 'Brian Howell', 'VI'], [4, 'Lynne Foster', 'VI'], [5, 'Zachary Simon', 'VII']] i want to do : {1:{name:jean castro,class:v}},{2:{name:lula powell,class:vi}},......... like this way. so i tried this way, b3={} b4={} keys=['name','class'] for i in li: val=list(i[1:]) print(val) print(keys) # z=dict(zip(keys,val)) z=list(zip(keys,val)) print(z) print(type(z)) b3.update({i[0]:dict(z)}) # b3[i[0]]:dict(zip(keys,val)) thank you sir.
Use dict comprehension : { k[0]: {'name' : k[1], 'class' : k[2]} for k in li}
Thank you bhai
Bhai most welcome !!! Enjoy
Your Videos are really very rich in information. Thank You very much Sir
Thanks a lot
Please upload ML session in R and if possible Applied Stats as well. Thankyou for explaining everything very well.
Thanks for the kind words. Will do in future. Its a never ending field
If something went wrong , can we revert the changes in DT
Nope. That's a done deal. You need to re-execute commands. So alawys use small sample to test the logic before you run things in data.table. Use copy along with head/tail or sample to run codes on few records.
Can we use dplyr with data.table or for even tidying data we must use data.table as well to make our code run fast?
We can, but in my opinion we shouldn't. Data table is often used for efficiency. There is always an overhead if you use data.table with dplyr pipes. Youcan chain commands with data.table using square brackets
Hi, Predeep your tutorial is way better than any online course certification . Can you please share the code or github link to practice these exercise as it will further consolidate the learning from these outsdtanding tutorials. Thanks
I am sorry. I don't prepare anything for these videos. I started this for fun. So the codes are not present anywhere. Thanks for kind words. But i will take your advice for future. I will keep codes somewhere publicly.
good explanation
One of the best teacher.
Better
Nice and informative.
Thankyou
nicely explained
Thanks
Hi Sir, I am interested in getting the training from you on "base R", could you please let me know if you are providing any online training. If you are, could you please provide the details please. I tried to reach you but the email provided is not working.
I have replied to you on you email, sorry for tge delay. Its just very difficult to juggle around with my day job and lot of queries. Thanks
Itni videos 1 day me is new record from your end👌🔥
looks like an industry-oriented approach you have opted for, thanks sir for the great content!
My pleasure!
Thank you for python series
You are most welcome
बढ़िया।
Nice
Thanks
explaining so well .....Thank you Sir
You are most welcome
yeh video ka concept samaj nahi aaya
Batao kya nahi samja, specify karo to jyda help kar paaunga. Thanks
Sir plzz make video on R markdown
Pehle Python ke videos daalung, fir shiny aur markdown bhi aayega, give me some time
Thanks alot for the videos Sir....this is sampoorna quality Gyan👌👌👌 I learned many new things from your videos... Please keep coming back with new videos 🙏
Sure 👍
Great video 👍👍
Glad you enjoyed it
R profile k settings save nahi huyae...on reopening R it was like previous interface... console Mae > tha...not R>
Strange ? Aisa hona nahi chaihye, there may be another reason for it
🙏🏻🙏🏻