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

. In this video, I have explained about Label Encoding of Dataset. Label Encoding is an important step in Data Preprocessing in Machine Learning & Data Science.

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Hi guys! I am Siddhardhan. I work in the field of Data Science and Machine Learning. It all started with my curiosity to learn about Artificial Intelligence and the ability of AI to solve several Real Life Problems. I worked on several Machine Learning & Deep Learning projects involving Computer Vision.
I am on this journey to empower as many students & working professionals as possible with the knowledge of Machine Learning and Artificial Intelligence.

I am making a "Hands-on Machine Learning Course with Python" in YouTube. I'll be posting 3 videos per week: Monday Evening; Wednesday Evening; Friday Evening.

[SAIFSIAM-bf]

feeling better than my 80$ course at 2025
thank you

[sujahathsiddeek]

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)

[unvatopregunta]

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

[restphilanthropy]

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

[noorulainmushtaq]

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

[farahamirah]

Totally understand, your content is lit, thank you

[Amitsharma-ncyc]

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

[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

[shahbazkhalilli]

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

[gokulmayuram]

Can you post some interview questions for data science??

[Darklord-ukyi]

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

[pranav.explore]

sir, suggest any book to learn data science

[sachinvithubone]

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

[amine_sahraoui_]

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

[khorkhuaneng]

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

[sachinvithubone]

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

[ajaykushwaha-jemw]

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