#scikitlearn #machinelearning #python #codersarts #mltutorial #ml #datascience #datapreparation #datapreprocessing #dataprocessing #sklearn
In this video we discuss the Categorical Values and how to handle these values using various types of encodings. We also talk about different types of categorical values and a sample code for encoding these.
Timestamps for Important Topics:
00:00:00 Getting started and Pre-requisites
00:00:43 Introduction
00:02:06 Types of Categorical Data
00:03:22 Types of Encoding
00:11:48 Documentation
00:13:04 Sample Code
Categorical data is a type of data that consists of categorical values, such as "Male" or "Female". Categorical data cannot be used directly in machine learning algorithms, as these algorithms require numerical values. Therefore, categorical data must be preprocessed before building a machine learning model.
If you are struggling with the "Categorical Data Preprocessing with Scikit-Learn - sklearn.preprocessing" assignment, Codersarts offers expert help in machine learning and data science. Our experts have extensive experience in preprocessing data and building machine learning models, and can provide you with tailored solutions to help you complete your assignment successfully.
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