How to Preprocess Data in Python
Before training a model, you have to preprocess data. This is necessary to transform raw data into clean data suitable for analysis. In this guide, we will cover essential steps to preprocess data using Python. These include splitting the dataset into training and validation sets, handling missing values, managing categorical features, and normalizing the dataset. Why do you need to preprocess data? Data preprocessing is important for several reasons: Improves data quality. Data preprocessing techniques such as handling […]
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