Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset

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Here is a detailed explanation about the balanced vs imbalanced dataset and how to handle the imbalanced dataset.

#balancedvsimbalanceddataset

You can buy my book where I have provided a detailed explanation of how we can use Machine Learning, Deep Learning in Finance using python

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Great sir there is no need to join any institute to learn the Data Science just follow the Krish Naik sir playlist.

shahnawazkhan

You are a great tutor, the way you are explaining, great to see you holds to the subject. Awesome

sushantapanda

your teaching is very effective sir.... very easy to understand

mayurkhandeshe

Well-done sir. Thanks for sharing very good to understand everyone

venkataraomannem

Nice series. Get going. The numbers should be 630, 270 and the accuracy exactly 90%. This is the same as your original imbalance.

abhijitsarkar

Great information, , good explanation.. 👌👌

azmathalisyed

Upto what ratio should we consider it as a balanced dataset ??

arjyabasu

Simplistic approach for Beginners, would really appreciate if you could do demo with dataset(1000 rows ) of 4-5 features, as well please explain Xgboost. Thanks in advance. Look forward to you response.

SandeepSingh-tfni

Can you make video/tutorial on hyper parameter tuning in classification algorithms!! As it has been coming to many interviews also.

tusharbhatnagar

XGboost will take care of the weights by itself and we don't need to do any weight adjustment manually ... is that right??
Great videos .. thanks for sharing them .. I am sure you will get big number of followers very soon!!
I am also applying XGBoost to the DataScience youtube channels that I am following and your channel seems to be getting heavier and heavier weights ;)

vineetsansi

i really happy with imbalanced and balanced dataset

gopalakrishna

Thanks Sir, plz make a video for overfitting and underfitting

manishshukla

Hi krish
Plz upload vedios on interview questions

mandarpawar

what i feel when see you videos explanation, your explanation like as when you communicating in english in your video its feels like you are communicating in regional language why i understand explain most of the difficult terms in simple way. I love your explanation.

NinjaAnkit

Krish : Can you put this in MACHINE LEARNING playlist? If I am not missing anything

sashpatra

Sir I have a doubt in this question that how to handle imbalanced data-set either by using right evaluation metrics or by these sampling techniques???Please let me know I'm very much confused...

aayushijain

can u please explain the that 2 algorithms xgboost and adaboost?

shashankvashishtha

Can u show the techniques of handling missing data excluding mean, median mode technique. I read that u can use regression or classification technique to find missing values but never seen implemented.

MsRAJDIP

very useful . thanks. could you pls post video on PCA and LDA and about Regularization as well. thanks

surendranathify

Sir, I have data with binary classification output variables. the ratio of classes is 7.5:2.5. Is this balanced data or unbalanced data?

dr.bheemsainik

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