Standardizing a set of columns in a pandas dataframe with sklearn Question: I have a table with four columns: CustomerID, Recency, Frequency and Revenue. I need to standardize (scale) the columns Recency, Frequency and Revenue and save the column CustomerID. I used this code: from sklearn.preprocessing import normalize, StandardScaler df.set_index(‘CustomerID’, inplace = True) standard_scaler = …
Data Standardization vs Normalization vs Robust Scaler Question: I am working on data preprocessing and want to compare the benefits of Data Standardization vs Normalization vs Robust Scaler practically. In theory, the guidelines are: Advantages: Standardization: scales features such that the distribution is centered around 0, with a standard deviation of 1. Normalization: shrinks the …
How to standardize data with sklearn's cross_val_score() Question: Let’s say I want to use a LinearSVC to perform k-fold-cross-validation on a dataset. How would I perform standardization on the data? The best practice I have read is to build your standardization model on your training data then apply this model to the testing data. When …
Can anyone explain me StandardScaler? Question: I am unable to understand the page of the StandardScaler in the documentation of sklearn. Can anyone explain this to me in simple terms? Asked By: nitinvijay23 || Source Answers: This is useful when you want to compare data that correspond to different units. In that case, you want …
