4.5. Label Encoding | Data Pre-Processing | Machine Learning Course

[@sujahathsiddeek378]

When you use LabelEncoder to transform categorical variables into numerical values, the mapping of labels to categories is stored within the LabelEncoder object. You can access this mapping using the classes_ attribute after fitting the LabelEncoder to your data. This is how you can do it easily: label_mapping = dict(zip(range(len(label_encoder.classes_)), label_encoder.classes_)) print("Label Mapping:", label_mapping)

[@farahamirah2091]

Totally understand, your content is lit , thank you

[@unvatopregunta1572]

Excuse me sir, why do we use two encode functions for the two data? Isn't it possible to use the same function? I love your content, I have found it quite clear and encouraging

[@noorulainmushtaq2079]

create all these vidoes on 1 dataset why using different datasets oerall you doing great job

[@restphilanthropy]

How are all these free??? God bless you soo much sir😍

[@sonamraj-h5y]

it's amazing sir!!!!

[@LawalMuqsit]

Hi siddardhan I need your advice. Earlier this year I was learning data analysis. But switched to machine learning. I tend to forget most things I learnt from data analysis. I want to ask if there is a way to combine the two or I should just put my focus on machine learning Thank you

[@Amitsharma-nc9yc]

Hi Siddhardhan How we can encoded multiple column. Like we have 3 column in a data set which i want to encoded

[@Siddhardhan]

Hi! Watch my "Medical insurance cost prediction" Project Video... In that I have encoded 3 columns.

[@gokulmayuram]

Can you post some interview questions for data science??

[@Siddhardhan]

Hi! I haven't planned that video. I'll make that video as soon as possible.

[@gokulmayuram]

@@Siddhardhan I like the way you are explaining. Good work.

[@Siddhardhan]

Thank you so much 😇

[@shahbazkhalilli8593]

hello, firstly content is clear but can we change the numbers for example can we get 1 for benign and 0 for malignant, thanks in advance

[@Darklord-uk6yi]

Hello sir, great explanation, could you kindly tell me where to download this cancer DATASET from?

[@sachinvithubone4278]

In label encoding, if in target variable have 3 values. Ex. D, T and G then how it will be transferred.?

[@sachinvithubone4278]

I got the answer for this in Iris dataset.

[@Siddhardhan]

okay.

[@classicemmaeasy2292]

pls explain further

[@pranav.explore894]

sir , suggest any book to learn data science

[@aminesahraoui5422]

Hello Mr. Siddhardhan, why those chapters are not mentioned in the Course Curriculum ??

[@Siddhardhan]

hi! it's a tentative curriculum. I may have to make videos on some topics that are not mentioned in the curriculum.

[@aminesahraoui5422]

OK got it. Thank you

[@khorkhuaneng5554]

Hi Sir, for your videos, do i need to go through all your videos first before going to Project modules?

[@Siddhardhan]

hi! u can start watching the project videos after 4th module. but the other modules are important as well.

[@vinaynaik953]

Thank you very much

[@Siddhardhan]

You are welcome😇

[@ajaykushwaha-je6mw]

can you please create project on Multiclass classification problem like thyroid disease classification.

[@Siddhardhan]

sure! I'll consider it.

[@sachinvithubone4278]

I have another daubt is without Labelencoder we can change the values of target variable. Using below code Df.loc[df[colName] == 'column value', ColName]=0

[@Siddhardhan]

hi! I don't get ur question