Monte Carlo Simulations in Python
Izzy Weber
Curriculum Manager, DataCamp
Ten independent variables:
age
sex
bmi
bp
tc
, ldl
, hdl
, tch
, ltg
, glu
Dependent variable
y
Size of the dataset
dia.head()
| | age | sex | bmi | bp | tc | ldl | hdl | tch | ltg | glu | y |
|-----|-----|-----|------|--------|-----|-------|------|------|--------|-----|-----|
| 0 | 59 | 2 | 32.1 | 101.00 | 157 | 93.2 | 38.0 | 4.00 | 4.8598 | 87 | 151 |
| 1 | 48 | 1 | 21.6 | 87.00 | 183 | 103.2 | 70.0 | 3.00 | 3.8918 | 69 | 75 |
| 2 | 72 | 2 | 30.5 | 93.00 | 156 | 93.6 | 41.0 | 4.00 | 4.6728 | 85 | 141 |
| 3 | 24 | 1 | 25.3 | 84.00 | 198 | 131.4 | 40.0 | 5.00 | 4.8903 | 89 | 206 |
| 4 | 50 | 1 | 23.0 | 101.00 | 192 | 125.4 | 52.0 | 4.00 | 4.2905 | 80 | 135 |
sns.pairplot(dia)
sns.pairplot(dia)
sns.pairplot(dia)
dia.corr()
Monte Carlo Simulations in Python