Warrie Warrie warrienelly

## sampling.py
import pandas as pd
import numpy as np

# Read dataset
data = pd.read_csv("data.csv")
## Getting 100 random sample from a dataset
rand_sample = data.sample()

## traintestSplit.py
# Train test Split
from sklearn.model_selection import train_test_split
train, test = train_test_split(data, test_size=0.20,random_state=1996)
	import pandas as pd
	import numpy as np

	# Read dataset
	data = pd.read_csv("data.csv")
	## Getting 100 random sample from a dataset
	rand_sample = data.sample()
	# Train test Split
	from sklearn.model_selection import train_test_split
	train, test = train_test_split(data, test_size=0.20,random_state=1996)