ML's FE: Use [data analysis + data processing] algorithm to perform feature engineering processing on a domestic platform Shanghai house price data set [12+1] in June 2020 (the most complete in history, it is recommended to collect) - Code World

ML's FE: Use [data analysis + data processing] algorithm to perform feature engineering processing on a domestic platform Shanghai house price data set [12+1] in June 2020 (the most complete in history, it is recommended to collect)

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Origin blog.csdn.net/qq_41185868/article/details/108541446

ML's FE: Use [data analysis + data processing] algorithm to perform feature engineering processing on a domestic platform Shanghai house price data set [12+1] in June 2020 (the most complete in history, it is recommended to collect)

FE of ML: Based on the Boston house price data set, use the LightGBM algorithm to predict the model and then use the 3σ principle method (calculate the standard deviation of the residual) to find outliers/abnormal samples in the test set

FS of ML's FE: feature engineering/data preprocessing - feature selection using filter filter, feature screening using variance threshold (custom data set, multiple methods) case implementation code

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