Chapter 9: Data Preprocessing
Let's delve into the world of Data Preprocessing, a crucial aspect of data science projects that can make or break the success of your model. In this chapter, we will provide you with comprehensive knowledge of the essential techniques and best practices to preprocess your data efficiently.
Preprocessing is a multi-stage process, consisting of data cleaning, feature engineering, and data transformation, that prepares your dataset for machine learning algorithms. Each stage is equally important and contributes to the overall effectiveness of the model. By carefully implementing preprocessing techniques, you can ensure that your model is well-equipped to handle real-world data and produce accurate results. It is ...
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