git add doc/foo.txt

Pyhton/P.txt

@@ -0,0 +1 @@
+

Pyhton/PRE-PROCESAMIENTO.py

@@ -0,0 +1,26 @@
+"""
+Created on Tue May 21 23:49:01 2019
+"""
+#PLANTILLA DE PRE PROCESADO
+
+#IMPORTAR LAS LIBRERIAS
+
+import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+
+
+#IMPORTAR EL DATASET
+dataset = pd.read_csv('Data.csv')
+
+x = dataset.iloc[ : , :-1 ].values #MATRIZ DE DATOS INDEPENDIENTES
+
+y = dataset.iloc[ : , 3 ].values #VECTOR DE DATOS DEPENDIENTES
+
+#LIMPIEZA DE DATOS O TRATAMIENTO DE LOS NA(NULL)
+from sklearn.preprocessing import Imputer
+imputer = Imputer(missing_values = "NaN", strategy = "mean", axis = 0)
+imputer = imputer.fit(x[:,1:3])
+x[:, 1:3] = imputer.transform(x[:, 1:3])
+
+x

R/Pre procesamiento.R

@@ -0,0 +1,12 @@
+#PLANTILLA DE PRE PROCESADO
+#IMPORTAR EL DATASET
+dataset = read.csv('Data.csv')
+
+#LIMPIEZA DE DATOS O TRATAMIENTO DE LOS NA(NULL)
+dataset$Age = ifelse (is.na(dataset$Age),
+                      ave(dataset$Age, FUN = function(x) mean(x, na.rm = TRUE)),
+                      dataset$Age)
+
+dataset$Salary = ifelse (is.na(dataset$Salary),
+                      ave(dataset$Salary, FUN = function(x) mean(x, na.rm = TRUE)),
+                      dataset$Salary)

R/r.txt

@@ -0,0 +1 @@
+