Step 1 : Normalization
2015-10-05 14:13:25 6 举报Normalization是一种数据处理技术，主要用于将不同尺度或范围的数据转换为统一的标准。这个过程通常包括将数据缩放到一个特定的范围，例如0到1，或者标准化数据使其具有零均值和单位方差。在机器学习和数据分析中，Normalization是非常重要的一步，因为它可以帮助算法更好地理解和处理数据，提高模型的性能和准确性。此外，Normalization还可以帮助我们更直观地理解数据的分布和关系，发现数据中的模式和趋势。
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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