Transforme dados
em decisões inteligentes com

Python e Machine Learning

import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier

df = pd.read_csv("vendas.csv")
X = df.drop(columns=["target"])
y = df["target"]

X_tr, X_te, y_tr, y_te = train_test_split(X, y, test_size=0.2)
modelo = RandomForestClassifier().fit(X_tr, y_tr)
print("Acuracia:", modelo.score(X_te, y_te))