New answers tagged data-cleaning
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Performing EDA on a dataset with missing features
There are a lot of techniques through which you can fill the missing values. Some of them are:
1.) Replacing with mean, median or mode as you correctly pointed out.
2.) Replacing with a constant value ...
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Data preprocessing methods
Here are some.
Dealing with the variable Types.
Dealing with Missing data
Encoding categorical variables
Categorical variable — cardinality
Categorical variable — rare labels
Dealing with Outliers
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Should I Impute target values?
Data Imputation of the target variable makes the model BIAS. A small correction is not to use label encoder for predictors. Label Encoder to be used for only target variables if they are categorical.
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how to deal with columns that has different value in only 1 or 2 rows?
In other words, you have sparse binary features. A vast majority of the data is zeros. The remaining data are ones.
One option is to transform the features to be denser. This can be done with ...
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How can we predict a value after several rows of data?
Try to make all the rows of the week one row.
Considering the max number of rows/weeks:
Week 1; $x_1, x_2, x_3...x_{90}, v_1, v_2, v_3...v_{90}...z_1, z_2, z_3...z_{90}; y_1$
Week 2; $x_1, x_2, x_3......
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