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Sam Borms
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small cleaning README file
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README.rst

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Main Features
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=============
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* Prepare a given pandas DataFrame for predictive modelling:
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- partition into train/selection/validation sets
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- create bins from continuous variables
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- regroup categorical variables based on statistical significance
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- replace missing values and
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- add columns with incidence rate per category/bin.
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* Perform univariate feature selection based on AUC
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* Compute correlation matrix of predictors
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* Find the suitable variables using forward feature selection
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* Evaluate model performance and visualize the results
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- Prepare a given pandas DataFrame for predictive modelling:
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- partition into train/selection/validation sets
14+
- create bins from continuous variables
15+
- regroup categorical variables based on statistical significance
16+
- replace missing values and
17+
- add columns with incidence rate per category/bin
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- Perform univariate feature selection based on AUC
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- Compute correlation matrix of predictors
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- Find the suitable variables using forward feature selection
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- Evaluate model performance and visualize the results
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Getting started
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===============

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