Steps in Data Preprocessing in Machine Learning
- Acquire the dataset. Acquiring the dataset is the first step in data preprocessing in machine learning. ...
- Import all the crucial libraries. ...
- Import the dataset. ...
- Identifying and handling the missing values. ...
- Encoding the categorical data. ...
- Splitting the dataset. ...
- Feature scaling.
What are the steps in preprocessing?
To ensure high-quality data, it's crucial to preprocess it. To make the process easier, data preprocessing is divided into four stages: data cleaning, data integration, data reduction, and data transformation.
What are the 5 major steps of data preprocessing?
Major Tasks in Data Preprocessing:
- Data cleaning.
- Data integration.
- Data reduction.
- Data transformation.
