funpymodeling
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A package to help data scientist in Exploratory Data Analysis and Data Preparation for ML models
funpymodeling/data_prep.py -> función "to_df" refactorizada
Modify `corr_pair` function from funpymodeling in order to handle the correlation based on MIC statistic as it is shown below: ``` from __future__ import division import numpy as np import...
We can make something like this https://sergiocalde94.github.io/pydrift/ (@sergiocalde94 Sorry je, I think that your project is a good example to follow :) )
In funModeling, `freq` functions plots the frequency for all the categorical variables. Below there is a code that do something similar: ``` import seaborn as sns import matplotlib.pyplot as plt...
Implement CI in this project to check/run our future tests
`cross_plot` receives a data frame (`data`), a target variable `target` and optional a list of variable names to generate the following plots: An example in R: `cross_plot(data=heart_disease, input=c("age", "oldpeak"), target="has_heart_disease")`...