Encoding categorical variables is essential in preparing data for machine learning models, as most algorithms require numerical input. The process involves transforming categories into a numerical format while preserving the information and relationships inherent in the data.

Encoding Categorical Variables

Encoding categorical variables

preparing data for machine learning models

numerical input

transforming categories into a numerical format

Preserving information

Preserving relationships

Inherent information in the data

Machine Learning Models are algorithms that learn patterns from data to make predictions or decisions without being explicitly programmed to perform the task. They are foundational to artificial intelligence, enabling systems to improve their performance on a specific task with experience.

machine learning models

Data Cleaning

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