Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables

Hi All,
After Completing this video you will understand how we can perform One hot Encoding for Multi Categorical Features.

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[ttowelie]

I spent my whole week to solve the sort of the same problem. Thank you for your solution!

[abdullahalmahfuz]

Should i have to know feature Engineering in 2024?

[cocum]

Great video! This is the solution I was looking for, very well explained, thank you very much for sharing!

[bhushandhamankar]

I'll suggest you to watch 2nd Video in this playlist first then come for this one...:)

[abhishekverma]

Sir i need this .ipynb file, please share with us.

[animeshmuduli]

pls provide us the jupiternotebook file🙏

[anupampurkait]

I think here we may not need to use 'sort_values' function because 'value_counts' method by default sorts the values by descending order.

[shivaprasadshirawar]

I'm here for feature engineering after the statistics playlist as Krish sir said but I'm not getting anything. Am I doing it right or I should come back after machine learning playlist. Bcz I'm not getting the purpose of these methods and also the impact.... Please someone help me

[chowdarybkc]

Bro no jupyter notebook please upload it

[umakanta]

The best trainer i feel in youtube for simplicity in explaining ..great

[Futureyouth-bebo]

pro i have problem that is iam using two different datasets one from kaggle and one from local but the problem is when making hot encoding when ever i try doing this flightdata = pd.get_dummies(flightdata, columns=['OriginCityName', 'DestCityName'])
df = pd.get_dummies(df, columns=['OriginCityName', 'DestCityName'])


# Ensure both datasets have the same dummy variables
flightdata, df = flightdata.align(df, join='inner', axis=1)

but the public datasets have many more categorical than the local how can i solve it ?

[sujankumar]

Hi Krish, please let me know where can i find Code you have used in these videos ? i also found the code of many videos are not available in description

[yikheichan]

Im so confused how i use it when i have a dataset,
so variables with less frequency set as 0 ? and they are still useful for the dataset?
Like when i do the model like Multinomial logistic regression, is your method useful because when i most than 2 which more than 0 and 1 i need Multinomial logistic regression ?

[sreenathgupta]

Nice, If i am dealing with dataset similar to Airline dataset where source and destination airports are important and we need to consider all airports. How can we deal such a dataset

[surajrahinj]

Het Krish please provide the Notebook in video Description

[akatsukidawn]

I am currently doing mtech in machine learning but I can't understand anything from this video. I have lots of assignments to do but I am stuck

[datadrix]

One stupid question from my side, what the different roles in Machine Learning ? for an example in other fields like developer, tester, coder, etc

[niteshmishra]

I was stuck with a similar kind of data set for my class project...This has been an immense help in making things more clear !!!thanks a ton

[bhanupratapyadav]

bhai mujhe ye error dikha raha hai "maximum recursion depth exceeded while calling a Python object" or data type column ka change ho ja raha hai ye code use kar raha ho to " for features in MainData.columns:
MainData[features].replace(np.nan, MainData[features].mean, inplace=True)" help plz

[rishibakshi]

sir where can i find these jupyter notebooks? i dont see any link in the description..can anybody please help me with that...