Python Machine Learning Data Pre-Processing Template
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import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
dataset = pd.read_csv('filename.csv')
X = dataset.iloc[:, :-1].values
y = dataset.iloc[:, -1].values
from sklearn.model_selection import train_test_split
X_train, X_test , y_train, y_test = train_test_split(X,y,test_size = 0.2 , random_state = 81 )
source: Udemey "Machine Learning A-Z™: Python & R in Data Science [2023]"
