How To Become Expertise in Exploratory Data Analysis
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- Опубліковано 4 жов 2024
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This guy is a life saver. After getting lost in the jungle of data science, he is like a beacon of direction.
Exactly
😁
hey where are u now??....chosen the right path?
I can see the passion and your love towards ML in your eyes.. thanks for sharing your valuable knowledge with us
Krish, I just wanted to say thanks for all you do. You not only teach how to think about programs and modules but how to think about what you need to think about. Standing Ovation for your efforts.:)
1)feature engineering
-handle missing value
-pandas, seaborn, matplotlib, numpy
I just love this human being for what he does and say. Just amazing. Thank you for being there...
I'm an automation engineer and I discovered my passion about data not so far. I started to study seriously this stuff just a couple of months ago, but thanks to my background for me is quite easy to understand maths and programming concepts. I discovered your channel some days ago and I'm explorying your videos every day. Thank to you and to other people that spend their time to share us their knowledge about this topic.
We need more teachers like him. Huge respect for you sir
Response coding is one of the famous technique that people are using now a days sir. its totally works on probability. Lets say we have categorical feature name as "STATE_NAME" which consists of all the state name of india and we have two target labels as 0&1. So we can get the probability value by dividing each state_name with the particular label and the total occurance of that state. In this way we can calculate probability value of each state with respect to label. Here we are overcoming with the dimension problem that occured by doing one_hot_encoding and also we can get the exact particular value. You can correct me if i put something wrong.
Yes u r right..you can also call it as mean encoding
@@krishnaik06 hello sir, Sir can you please provide sample code for mean/response encoding.
The best teacher for data science and machine learning.. Thanks a lot..
learning by doing (keep practice) python libraries : pandas, numpy, seaborn & matplotlib. Keep practice & explore them from the other web such as kaggle
. Thankyou sir
best channel of data science. this channel is better than online courses on coursera
I can't wait for your course. Too much excited.
Your way of talking motivate me, make me more energetic and enthusiast towards learning data science, thank you for providing such an amazing platform for data science learner. simply super amazing. A lot of love.
i am familiar with data science however my learning is very loose as i have never studied everything from one place. So am going through this playlist. i aim to complete it in 10 days. today is day 2
Very clear explanation sir 😇.. Every day I open YT to watch ur videos 🙂
Thanks Krish. I had been watching your videos. Unlike others, you care others to help them build their path to ML & DL. Great work. Keep it up.
I love ML because of you sir .. best teaching🙏 .. thank you so much sir
Thank you Sir , For Telling All this Because I Usually Go and See Other People Code Over Kaggle and I Always feel like Why I Was Not Abel to Think about this Approach ,also I always felt like I'm not good Enough Therefore I See Other People coding Style , but your words made me feel like one day i will be like You and like those whom i see over Kaggle, thank you sir for sharing your Life Experience
Very Informative . thank you
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Thanks alot i followed last videos till this Krish . It's comprehensive and practiced as well.
Hi Krish Naik , I learned a lot from your tutorials .Thanks for making hese videos .All concepts are practically defined .I will recommend New learners to learn from Krish Naik tutorials .Thanks
Thanks sure! your vdo make me more confident on EDA.
sir you are very humble and always motivates me
I am glad i found this video. Very helpful! Thank you
Hi, by watching your videos I get confidence to face the interviews.
this is all I felt when I learn. Just Seaborn, I don't use a lot
Sir, please make video for website making through Python
Krish, really thanks for sharing your valuable experiences
Bro... Can u make a video on data cleaning and inovative data for data cleaning
We can also use Pandas Profiling ...it also does preliminary EDA.
Impressive and motivating😊👍
Hi what do you do for a living
Just Awesome... Whenever i see your videos, feel motivated . Excellent.
Thanks Krish
Really your are amazing sir, Thanks a lot for your class and guidance
I may not eat and go to sleep but before I go to sleep I check UA-cam channel ....whether any New video of Krishnaik!!(addicted)
you are the best teacher ever
Thank you most valuable insights got from video.
Thank you so much ....more informative ... more motivative...
this video gave me a clear idea
I need you by my side as I dive deep into this ocean of Data.
Interesting video thanks you
He is the true Krish(in movies by rithik roshan) for aspiring Data science .🤩👌
🥺🥺u r a huge recourse for freshers like me 😲😲👌tq sir
Thank you. This video is very helpful.
Thanks sir
It would be better to have definite pathways towards EDA. I am asking what are the statistics knowledge I need to learn to become good at EDA. I need definit syllabus. Learning coding is comparatively easier. rthanks in advance.
Great Video as usual , Thanks Krish
You are really good ! Waiting for your videos on Pandas . Also please post the rest of the videos on model deployment . Thanks for the noble service 👍
Sir, can u make a video on multilabel classification?
Surprised you didn't mention the R functions complete, fill and imputate_na for missing values. R is great for exploratory data analysis!
nice explaination, kris. thanks
Please provide the life cycle of data preprocessing please
Krish, thank you so much.
What about R
Hello Krish, please do a video comparing python and R, ease of use etc.
ITS VERY HELPFUL BROTHER
Thanks A Lot Sir!! Always.
Hi Krish
Thanks for such a good content here. I can see you have stressed at times for excellence in numpy, pandas, seaborn, matplotlib. How one can build that excellence after one knows basics of them?
awesome
Thank you soooo much sir
if i join his channel, will personally clear the doubts.
So Krish you are telling , we should know about panda, nampy , python, matlop, etc
My question in interview part what happened, bcz now we are going to learn ML from you, what about remaining topics, as a data scientist we should know more and more knowledge, only With ML do we get the placement.
Bro machine learning is basics of datascientist
Sir Kindly make a video on Time Series with Python Implementation
Brother, can you please upload a video showing how to fix Null values in Python? Thanks
Valuable info👌
Finally, I get a great lecture
I would like to join your newly created course for ML. But last day I wasn't able to access the form. When it will be available.
this is life saver.
salam from PAKISTAN....lub you man
Hi from India 👋
How to do time series analysis on categorical data?
Video Summary: Read blogs, Kaggle Kernels to learn/find new ways!
Hi Krish , plz make public ' Exploratory Data Analysis on Titanic dataset ' video.
Hii Krish, I have a doubt. Should we fill the null values before doing EDA or Should I do EDA first and then fill null values.
Hi,
There is a Bootcamp for data science named AlmaBetter, can you please make an unbiased review of the Bootcamp.
Should we go or should we choose some other source for learning data science in right way?
Dear sir, don't you have videos on exploratory Data Analysis?
Hi,you are great guru ji so also add English subtitles also it will be great useful bz I belong to village so pls do it also
great video!
People suggesting pandas profiling please keep in mind for a huge dataset it is big headache to use for standard machine
Can you make a video on EDA for a dataset which has both categorical and numerical variables?
when are you going to start the course? Can you please share the link for the form
Hi Krish,
Hope you are doing fine.
I would like to join your course on data science.
Could you please let me know how can I enroll .
Thanks
Priyadarshi
Please Suggest some datasets to practice EDA on.
Hi,
Can you please tell me the exact spelling that you mentioned from where we need to go and refer that thing? can you please write that platform name here?
There are a lot of skills required to become a data analyst but then why their salary is too less in india?
Probably because companies are not willing to invest much in that department
@krishnaik
will your feature engineering playlist help?
how can one master those 4 libraries?
like where can I practice?
thnx
When I see missing values:
Me to Random forest regressor:😏
Hi krish, why we dont start with EDA but Feature Engineering. How can we do feature engineering, if we do not know about the data in depth. Please revert if you think this is a good question.
thank you so much sir!!
Pls give us laptop specs required for implementing data science projects
Krish, as Matplotlib and Seaborn are for same purpose, can u suggest one to focus
Thanks to you
Thank you sir 🙏
After getting the data sets how to understan the data for process i have big in this .....pls help me sirrr
sir,
I am finding data science interesting...but my background is in commerce.
Will my background will be bad for my carrer if i want to make carrer in data science.
Please sir help me...i am not able to get satisfactory answer from anywhere.
I hope u will solve my query and guide me thank you
Your subscriber
I'm not Krish sir but I can say that if you feel interested to explore this field, then you should give it a try, atleast for one month.
I guess you do have some idea about Mathematics and Statistics? You can start with programming and some other basic stuff. This 2 forms the base of data science. Then you can move further if interested and desperation of learning more still exists.
*I'm a beginner as well,so take my words with pinch of salt* 😀
I was in similar position as you one month back and still willing to learn more every day.
@@someonesomebody716 whats ur background
@@sumitverma1402 Engineering
@@someonesomebody716 bhai background related ques th....ki scope wagarah kya hai engineer ke alawa
@@sumitverma1402 krish sir said in one of his video that your background doesnt matter as long as aapke pass knowledge hai.
Sir I have seen ur videos of data science n more useful sir I need videos on pandas and EDA please provide sir
lovely!
Thank you Sir
Can u explain why the maths is used in data science?
Data science = Math