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Showing posts with the label Scikit Learn
Onehotencoder Only A Single Feature Which Is String

Onehotencoder Only A Single Feature Which Is String

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I want one of my ONLY ONE of my features to be converted to a separate binary features: df['pat… Read more Onehotencoder Only A Single Feature Which Is String
Why Does Calibratedclassifiercv Underperform A Direct Classifer?

Why Does Calibratedclassifiercv Underperform A Direct Classifer?

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I noticed that sklearn's new CalibratedClassifierCV seems to underperform the direct base_estim… Read more Why Does Calibratedclassifiercv Underperform A Direct Classifer?
Pipeline Fit Takes In 2 Parameters Only

Pipeline Fit Takes In 2 Parameters Only

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this is my code. import pandas as pd import numpy as np import json import seaborn as sb from skl… Read more Pipeline Fit Takes In 2 Parameters Only
How To Cluster With K-means, When Number Of Clusters And Their Sizes Are Known

How To Cluster With K-means, When Number Of Clusters And Their Sizes Are Known

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I'm clustering some data using scikit. I have the easiest possible task: I do know the number o… Read more How To Cluster With K-means, When Number Of Clusters And Their Sizes Are Known
Label Encoding Multiple Columns With The Same Category

Label Encoding Multiple Columns With The Same Category

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Consider the following dataframe: import pandas as pd from sklearn.preprocessing import LabelEncode… Read more Label Encoding Multiple Columns With The Same Category
Keep Pandas Structure With Numpy/scikit Functions

Keep Pandas Structure With Numpy/scikit Functions

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I'm using the excellent read_csv()function from pandas, which gives: In [31]: data = pandas.rea… Read more Keep Pandas Structure With Numpy/scikit Functions