How To Become Expertise in Exploratory Data Analysis

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[leoyuanluo]

This guy is a life saver. After getting lost in the jungle of data science, he is like a beacon of direction.

[sumitsaha]

I can see the passion and your love towards ML in your eyes.. thanks for sharing your valuable knowledge with us

[lesguessing]

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.:)

[alexandralee]

1)feature engineering
-handle missing value
-pandas, seaborn, matplotlib, numpy

[antoniodefalco]

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.

[swastiknayak]

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.

[dwsulistian]

learning by doing (keep practice) python libraries : pandas, numpy, seaborn & matplotlib. Keep practice & explore them from the other web such as kaggle
. Thankyou sir

[babbarutkarsh]

We need more teachers like him. Huge respect for you sir

[ALANGEORGE-fzdy]

I just love this human being for what he does and say. Just amazing. Thank you for being there...

[parikshitrajpara]

best channel of data science. this channel is better than online courses on coursera

[anargul]

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.

[aartichoudharychandra]

The best teacher for data science and machine learning.. Thanks a lot..

[subhampal]

I can't wait for your course. Too much excited.

[jotaroackerman]

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

[nikifoxy]

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.

[pritishnandy]

Very clear explanation sir 😇.. Every day I open YT to watch ur videos 🙂

[CodeWithMuh]

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

[jyotibellerimath]

I love ML because of you sir .. best teaching🙏 .. thank you so much sir

[ganeshrao]

Thanks alot i followed last videos till this Krish . It's comprehensive and practiced as well.

[Krishnacodinglife]

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