我想使用 python 执行数据分析

Question

I just want to do these 3 steps:

1. identify the missing data
2. impute the missing values in the data using k-means or k-nearest-neighbor imputation.
3. return the imputed data and compare it with the complete data to measure the accuracy and reliability of your results

Kindly suggest how to do it.

Answer 1

Your question isn't formulated very well, but here's some things that might work for your application.

1. pandas.isnan
2. pandas.interpolate
3. mse = lambda y1, y2: (y2 - y1)**2

Answer 2

so you have data set in csv format or other. you can first load the data using the pandas library and fill the missing values.

Build the model: mse = lambda y1, y2: (y2 - y1)**2

Test with sample data set on this model.