Week 8: Discussion

What is Label Encoding?

What is Label Encoding?

by Al Amin Biswas -
Number of replies: 80

   

In reply to Al Amin Biswas

Re: What is Label Encoding?

by MD. Harun-Or-Rashid -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by MD. AL- HABIB ISLAM -
Label Encoder:

Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Salma Akter 191-15-2387 -
Label Encoder:

Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md.Moshiur Rahman -
#Label Encoding:
Answer:Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form.
Machine learning algorithms can then decide in a better way how those labels must be operated.
It is an important pre-processing step for the structured dataset in supervised learning.
Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels.
If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md. Muzahidul Islam Khandakar -
#Label Encoding:
Answer:Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form.
Machine learning algorithms can then decide in a better way how those labels must be operated.
It is an important pre-processing step for the structured dataset in supervised learning.
Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels.
If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Shorove Tajmen -
Label Encoder performs the conversion of labels from categorical data into a numeric format.

For example, if a dataset contains a variable ‘Gender’ with labels ‘Male’ and ‘Female’, then the label encoder would convert these labels into a number format and the resultant outcome would be [0,1].
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md. Abir Rahaman -
Label encoding is the process of turning labels into the numeric forms so that they may be read by machines.
We replace the categorical value with a numeric value between 0 and the number of classes minus 1 in Python label encoding. We utilize if the category variable value has five unique classes (0, 1, 2, 3, and 4).
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Ritu Biswas -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Tuzammal Hossain Masum -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md Rifat Bhuiyan -
Label Encoder performs the conversion of labels from categorical data into a numeric format.

For example, if a dataset contains a variable ‘Gender’ with labels ‘Male’ and ‘Female’, then the label encoder would convert these labels into a number format and the resultant outcome would be [0,1].
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Sayma Islam -
Label encoding is the process of translating labels to numeric form so that they may be read by machines. Machine learning algorithms can then determine how those labels should be used more efficiently. In supervised learning, it is a crucial step in pre-processing the structured dataset.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Tajul Islam Ayon -
Label Encoding refers to converting the labels into numeric form so as to convert it into the machine-readable form. Machine learning algorithms can then decide in a better way on how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by MD.ROBIUL HASAN -
Label Encoding refers to converting the labels into a numeric form so as to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by MD. Sazzad Hossain Bhuiyan Sakib -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by shoriful islam shakil -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Chaity Mondol -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Faruq Hossain -
Label encoding is the process of turning labels into numeric form so that they may be read by machines. Machine learning algorithms can then better decide how those labels should be used. In supervised learning, it is a crucial pre-processing step for the structured dataset.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md. Zahir Rayhan -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md Shazzad -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Al- mamun -
Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels.
If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Taslima Sathi -
For categorical variables, label encoding is a popular encoding approach. Each label is given a unique integer based on alphabetical order in this technique. Let's look at how to use the scikit-learn module to create label encoding in Python, as well as the issues that come with it.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Shamim Raihan -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Tanvir Hasan (191-15-2463) -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Fazlay Atif Maruf -
Label encoding is the process of turning labels into the numeric forms so that they may be read by machines. Machine learning algorithms can then make better decisions about how those labels should be used. In supervised learning, it is a crucial pre-processing step for the structured dataset.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by golam kibria khan -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.

For example, if a dataset contains a variable ‘Gender’ with labels ‘Male’ and ‘Female’, then the label encoder would convert these labels into a number format and the resultant outcome would be [0,1].
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Sharaf Rad -
Label Encoder performs the conversion of labels from categorical data into a numeric format.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Mehedi Hasan -
Label Encoding is a popular encoding technique for handling categorical variables. In this technique, each label is assigned a unique integer based on alphabetical ordering. Let's see how to implement label encoding in Python using the scikit-learn library and also understand the challenges with label encoding.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Khadiza Rimi -
Label Encoding refers to converting the labels into a numeric form so as to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Shakil Khan -
Label Encoder performs the conversion of labels from categorical data into a numeric format.

For example, if a dataset contains a variable ‘Gender’ with labels ‘Male’ and ‘Female’, then the label encoder would convert these labels into a number format and the resultant outcome would be [0,1].
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Alimujjaman Bappy -
Label Encoder:

Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Sanzida Mukti -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md Limon Hossen -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Rakibul Islam 191-15-2388 -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Soriful Alam Shetu(191-15-2408) -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by ABDUR RAHMAN -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form.
Machine learning algorithms can then decide in a better way how those labels must be operated.
It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Abdullah Al Mahmud 241-25-038 -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Inam Ullah Khan(191-15-2575) -
Label Encoder:

Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Aysha Akter Anjuman -
klearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Rashiduzzaman Shakil -
Label Encoder: Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encodes labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Swarna Roy191-15-2509 -

Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.

In reply to Al Amin Biswas

Re: What is Label Encoding?

by Abdullah All Mukit -
#Label Encoding:
Answer:Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form.
Machine learning algorithms can then decide in a better way how those labels must be operated.
It is an important pre-processing step for the structured dataset in supervised learning.
Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels.
If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Robiul Islam -
Label Encoder performs the conversion of labels from categorical data into a numeric format.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md. Abid Hasan -
Label encoding is the process of translating labels to numeric form so that they may be read by machines. Machine learning algorithms can then determine how those labels should be used more efficiently. In supervised learning, it is a crucial step in pre-processing the structured dataset.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Israt jahan Shoshe -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Bonna Akter -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Riad Shalahin Leon -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Farzana Akter -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form.
Machine learning algorithms can then decide in a better way how those labels must be operated.
It is an important pre-processing step for the structured dataset in supervised learning.
Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels.
If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Anika Tafannum -
Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels.
If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Shahida Akter -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Ismatara Nodi -
Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Mirza Shahriyar Rahman -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Mokhlesur Rahman -

Label Encoding is a popular encoding technique for handling categorical variables. In this technique, each label is assigned a unique integer based on alphabetical ordering. Let's see how to implement label encoding in Python using the scikit-learn library and also understand the challenges with label encoding.

In reply to Al Amin Biswas

Re: What is Label Encoding?

by Nahid Sharif -
Label Encoder performs the conversion of labels from categorical data into a numeric format.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md Ali Al Alvy -
Label encoding refers to the conversion of labels into numerical formats in machine-readable form. Machine learning algorithms can better decide how those labels should be handled. This is an important pre-processing step for structural datasets in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Sabbir Ahmad -
Label Encoding is a popular encoding technique for handling categorical variables.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Abu Sufian -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Mahsuba meherunnessa Samia -
Label encoding is the process of turning labels into the numeric forms so that they may be read by machines.
We replace the categorical value with a numeric value between 0 and the number of classes minus 1 in Python label encoding. We utilize if the category variable value has five unique classes (0, 1, 2, 3, and 4).
REPLY

Picture of Ritu Biswas

Ritu Biswas

Tue, 3 Aug 2021, 9:30 PM

In reply to Al Amin Biswas

Re: What is Label Encoding?

by MD ALI AZAM -
Label Encoder performs the conversion of labels from categorical data into a numeric format.

For example, if a dataset contains a variable ‘Gender’ with labels ‘Male’ and ‘Female’, then the label encoder would convert these labels into a number format and the resultant outcome would be [0,1].
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Kayes Uddin Fahim -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Alamin Dhaly -
Level encoding is a mechanism of representing a data as number in stead of Categorical. Thus converting a categorical data into numeric form.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Momenunnessa Meem -
Label encoding is the process of turning labels into the numeric forms so that they may be read by machines.
We replace the categorical value with a numeric value between 0 and the number of classes minus 1 in Python label encoding. We utilize if the category variable value has five unique classes (0, 1, 2, 3, and 4).
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Aunik Hasan Mridul -
Label Encoder performs the conversion of labels from categorical data into a numeric format. For example, if a dataset contains a variable ‘Gender’ with labels ‘Male’ and ‘Female’, then the label encoder would convert these labels into a number format and the resultant outcome would be [0,1].
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Saidul Alam 191-15-2703 -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Mustahsin Al Rafi -
Label Encoder:

Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by md.ziad hosen -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md.Jahidul Islam -
Label encoding is the process of turning labels into the numeric forms so that they may be read by machines.
We replace the categorical value with a numeric value between 0 and the number of classes minus 1 in Python label encoding. We utilize if the category variable value has five unique classes (0, 1, 2, 3, and 4).
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Raisul Islam Rafi Khan -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Sadikuzzaman Shawon -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form.
Machine learning algorithms can then decide in a better way how those labels must be operated.
It is an important pre-processing step for the structured dataset in supervised learning.
Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels.
If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Progga Parmita Karmokar -
#Label Encoding:
Answer:Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form.
Machine learning algorithms can then decide in a better way how those labels must be operated.
It is an important pre-processing step for the structured dataset in supervised learning.
Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels.
If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Soriful Alam Shetu(191-15-2408) -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Md.Robiul Hasan Raian -
Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Ahasanul Kobir Opy -
Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by md.shahin alom -
Label Encoder:

Sklearn provides a very efficient tool for encoding the levels of categorical features into numeric values. Label Encoder encode labels with a value between 0 and n_classes-1 where n is the number of distinct labels. If a label repeats it assigns the same value to as assigned earlier.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Syed Mahiuddin -
Label encoding is the process of turning labels into numeric form so that they may be read by machines. Machine learning algorithms can then better decide how those labels should be used. In supervised learning, it is a crucial pre-processing step for the structured dataset.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Shakil Khan -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Saif Al Mahmud -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Merazul Islam Meraz -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Kazi Aahala Nagary -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Tariqul Islam -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.
In reply to Al Amin Biswas

Re: What is Label Encoding?

by Deepanita Baidya -
Label Encoding refers to converting the labels into the numeric form to convert them into the machine-readable form. Machine learning algorithms can then decide in a better way how those labels must be operated. It is an important pre-processing step for the structured dataset in supervised learning.