Step 1 : Normalization
2015-10-05 14:55:32 9 举报Normalization，即归一化，是一种数据预处理方法，通过将原始数据转换为具有统一尺度和分布范围的数据，以消除不同特征之间的量纲影响。这一过程有助于提高模型的性能和稳定性，使得算法能够更好地捕捉到数据中的潜在关系。在实际应用中，常见的归一化方法有最小-最大缩放、Z-score标准化等。通过对比归一化前后的数据，可以直观地观察到数据的分布变化，从而为进一步的数据分析和建模奠定基础。
作者其他创作
大纲/内容
If street number ends with special character \"&\" or \"to\"
Short name of the city should be replaced by Full Name
Zip Code Normalization
Alternate name for city should be replaced by actual name
Use street Name + City or Street name + County to get exact Zip code for property address
Street number should be changed to range by xxx-xxxFormat
If street name begins with special character \"-\" or \"&\" or \"to\"
Move all the text from street number field to street name field
Street Number Normalization
City Normalization
Zip code for few street names and city can be mapped incorrectly
Map the city using Zip code Vs city database to get actual city
Remove all special characters from street number field. Only number should present in this field
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