How To Become Expertise in Exploratory Data Analysis
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- Опубликовано: 24 сен 2019
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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.:)
We need more teachers like him. Huge respect for you sir
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.
1)feature engineering
-handle missing value
-pandas, seaborn, matplotlib, numpy
I can't wait for your course. Too much excited.
The best teacher for data science and machine learning.. Thanks a lot..
I just love this human being for what he does and say. Just amazing. Thank you for being there...
Very clear explanation sir 😇.. Every day I open YT to watch ur videos 🙂
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.
Just Awesome... Whenever i see your videos, feel motivated . Excellent.
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
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 am glad i found this video. Very helpful! Thank you
Hi, by watching your videos I get confidence to face the interviews.
I love ML because of you sir .. best teaching🙏 .. thank you so much sir
Really your are amazing sir, Thanks a lot for your class and guidance
sir you are very humble and always motivates me
Krish, really thanks for sharing your valuable experiences
Thanks sure! your vdo make me more confident on EDA.
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.
Finally, I get a great lecture
Thank you so much ....more informative ... more motivative...
Great Video as usual , Thanks Krish
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.
🥺🥺u r a huge recourse for freshers like me 😲😲👌tq sir
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
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 👍
Thank you most valuable insights got from video.
you are the best teacher ever
Thank you. This video is very helpful.
I may not eat and go to sleep but before I go to sleep I check RUclips channel ....whether any New video of Krishnaik!!(addicted)
I need you by my side as I dive deep into this ocean of Data.
Very Informative . thank you
Hello Buddy..
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nice explaination, kris. thanks
this video gave me a clear idea
Impressive and motivating😊👍
Hi what do you do for a living
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
Thanks Krish
Krish, thank you so much.
Interesting video thanks you
Thanks A Lot Sir!! Always.
He is the true Krish(in movies by rithik roshan) for aspiring Data science .🤩👌
thank you so much sir!!
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?
ITS VERY HELPFUL BROTHER
Valuable info👌
this is life saver.
Bro... Can u make a video on data cleaning and inovative data for data cleaning
great video!
awesome
Thank you soooo much sir
this is all I felt when I learn. Just Seaborn, I don't use a lot
Thanks sir
Hello Krish, please do a video comparing python and R, ease of use etc.
Thank you sir 🙏
Thanks to you
Thank you Sir
Sir, please make video for website making through Python
lovely!
Surprised you didn't mention the R functions complete, fill and imputate_na for missing values. R is great for exploratory data analysis!
Sir, can u make a video on multilabel classification?
great thanks
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
We can also use Pandas Profiling ...it also does preliminary EDA.
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.
when are you going to start the course? Can you please share the link for the form
Sir I have seen ur videos of data science n more useful sir I need videos on pandas and EDA please provide sir
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.
Hi Krish , plz make public ' Exploratory Data Analysis on Titanic dataset ' video.
Sir Kindly make a video on Time Series with Python Implementation
thanks
Brother, can you please upload a video showing how to fix Null values in Python? Thanks
thnx
Video Summary: Read blogs, Kaggle Kernels to learn/find new ways!
salam from PAKISTAN....lub you man
Hi from India 👋
Can you make a video on EDA for a dataset which has both categorical and numerical variables?
Pls give us laptop specs required for implementing data science projects
if i join his channel, will personally clear the doubts.
@krishnaik
will your feature engineering playlist help?
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
Can you upload something about dask? Or where you have handled a huge sized csv like 2-3gb? I tried but pandas failed to execute and system got hanged, so I tried dask, but data cleaning and preparation became difficult. Thanks in advance.
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?
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.
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.
Krish, as Matplotlib and Seaborn are for same purpose, can u suggest one to focus
When I see missing values:
Me to Random forest regressor:😏
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
Please provide the life cycle of data preprocessing please
How to do time series analysis on categorical data?
Hi @krish Naik, Im from Data Engineering background with experience in Pyspark. Can I use spark Dataframe instead of Pandas?
because u mentioned pandas is a major requirement to expert in EDA. It will be very helpful if u put a reply for my doubt..
Sir , does eda also comes under data analyst role??.if i mention eda ,then is it necessary that i learn ML and predictive analysis?
Dear sir, don't you have videos on exploratory Data Analysis?
Sir I can use R ...for EDA... analytics ...
What about R
Please Suggest some datasets to practice EDA on.
Sir, Can you share something regarding data analyst freshers like projects. And is it important to learn python if someone wants to data analyst. As i don't know python yet now but i know excel,sql and power bi so what kind of project i can get for myself.