apachecn/fe4ml-zh
:book: [译] 面向机器学习的特征工程
This resource provides a comprehensive guide to preparing your raw data for machine learning models. It takes various forms of input data, such as numbers, text, or categorical information, and shows you how to transform them into features that algorithms can effectively learn from. Data scientists, machine learning engineers, and analysts who build predictive models will find this useful.
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Use this if you need to understand the techniques for transforming raw data into effective features for machine learning models, from basic numerical tricks to advanced image feature extraction.
Not ideal if you are looking for an automated, black-box solution for feature engineering without understanding the underlying principles or need a ready-to-use software library rather than a guide.
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